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ORCIDMilind Tambe
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- affiliation: Harvard University, Cambridge, MA, USA
- affiliation (former): University of Southern California
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2020 – today
- 2024
[j86]Shresth Verma
, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja:
Leveraging AI to improve health information access in the World's largest maternal mobile health program. AI Mag. 45(4): 526-536 (2024)- [c425]Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe:
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. AAAI 2024: 14902-14909 - [c424]Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja:
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms. AAAI 2024: 22913-22919 - [c423]Soumyabrata Pal, Milind Tambe, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja:
Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection. AAMAS 2024: 1540-1548 - [c422]Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja:
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning. AAMAS 2024: 1701-1709 - [c421]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS 2024: 2618-2620 - [c420]Niclas Boehmer, Minbiao Han, Haifeng Xu, Milind Tambe:
Escape Sensing Games: Detection-vs-Evasion in Security Applications. ECAI 2024: 3260-3267 - [c419]Lucia Gordon, Esther Rolf, Milind Tambe:
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. ECAI 2024: 3284-3291 - [c418]Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez:
Improving the prediction of individual engagement in recommendations using cognitive models. HealthRecSys@RecSys 2024: 41-54 - [c417]Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez:
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. Tiny Papers @ ICLR 2024 - [c416]Gargi Singh, Milind Tambe, Aparna Taneja:
Towards Fairness constrained Restless Multi-Armed Bandits: a Case Study of Maternal and child Care Domain. Tiny Papers @ ICLR 2024 - [c415]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Position: Application-Driven Innovation in Machine Learning. ICML 2024 - [c414]Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen:
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. ICML 2024 - [c413]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. IJCAI 2024: 321-329 - [c412]Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, Milind Tambe:
IRL for Restless Multi-armed Bandits with Applications in Maternal and Child Health. PRICAI (5) 2024: 165-178 - [i101]Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson:
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health. CoRR abs/2402.04933 (2024) - [i100]Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe:
Evaluating the Effectiveness of Index-Based Treatment Allocation. CoRR abs/2402.11771 (2024) - [i99]Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen:
Social Environment Design. CoRR abs/2402.14090 (2024) - [i98]Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe:
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. CoRR abs/2402.14807 (2024) - [i97]Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja:
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning. CoRR abs/2403.05683 (2024) - [i96]David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White:
Application-Driven Innovation in Machine Learning. CoRR abs/2403.17381 (2024) - [i95]Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach:
Transcendence: Generative Models Can Outperform The Experts That Train Them. CoRR abs/2406.11741 (2024) - [i94]Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla, Aparna Hedge, Bryan Wilder, Milind Tambe, Aparna Taneja:
Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs. CoRR abs/2407.11973 (2024) - [i93]Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja:
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms. CoRR abs/2407.12131 (2024) - [i92]Niclas Boehmer, Minbiao Han, Haifeng Xu, Milind Tambe:
Escape Sensing Games: Detection-vs-Evasion in Security Applications. CoRR abs/2407.20981 (2024) - [i91]Lucia Gordon, Esther Rolf, Milind Tambe:
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents. CoRR abs/2408.03405 (2024) - [i90]Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe:
The Bandit Whisperer: Communication Learning for Restless Bandits. CoRR abs/2408.05686 (2024) - [i89]Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe:
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. CoRR abs/2408.12112 (2024) - [i88]Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez:
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models. CoRR abs/2408.16147 (2024) - [i87]Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe:
What is the Right Notion of Distance between Predict-then-Optimize Tasks? CoRR abs/2409.06997 (2024) - [i86]Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe:
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. CoRR abs/2409.18104 (2024) - [i85]Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe:
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. CoRR abs/2410.08377 (2024) - [i84]Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe:
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow. CoRR abs/2410.13953 (2024) - [i83]Arpan Dasgupta, Gagan Jain, Arun Sai Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja:
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program. CoRR abs/2410.21405 (2024) - [i82]Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies:
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas. CoRR abs/2411.14354 (2024) - 2023
- [j85]Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Predicting micronutrient deficiency with publicly available satellite data. AI Mag. 44(1): 30-40 (2023) - [j84]Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja:
Expanding impact of mobile health programs: SAHELI for maternal and child care. AI Mag. 44(4): 363-376 (2023) - [c411]Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. AAAI 2023: 10131-10139 - [c410]Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe:
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. AAAI 2023: 12103-12111 - [c409]Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. AAAI 2023: 12138-12146 - [c408]Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe:
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. AAAI 2023: 14295-14303 - [c407]Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja:
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care. AAAI 2023: 15594-15602 - [c406]Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. AAMAS 2023: 1294-1302 - [c405]Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe:
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. AAMAS 2023: 1312-1320 - [c404]Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe:
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. AAMAS 2023: 1321-1328 - [c403]Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings:
AI-driven Prices for Externalities and Sustainability in Production Markets. AAMAS 2023: 2463-2465 - [c402]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
A Learning Approach to Complex Contagion Influence Maximization. AAMAS 2023: 2622-2624 - [c401]Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja, Milind Tambe:
Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. AAMAS 2023: 2908-2909 - [c400]Sonja Johnson-Yu, Jessie Finocchiaro, Kai Wang, Yevgeniy Vorobeychik, Arunesh Sinha, Aparna Taneja, Milind Tambe:
Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. GameSec 2023: 133-152 - [c399]Edward A. Cranford, Han-Ching Ou, Cleotilde Gonzalez, Milind Tambe, Christian Lebiere:
Accounting for Uncertainty in Deceptive Signaling for Cybersecurity. HICSS 2023: 876-885 - [c398]Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe:
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. ICML 2023: 24198-24213 - [c397]Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe:
Complex Contagion Influence Maximization: A Reinforcement Learning Approach. IJCAI 2023: 5531-5540 - [c396]Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe:
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. IJCAI 2023: 5950-5958 - [c395]Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe:
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. IJCAI 2023: 5977-5985 - [i81]Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe:
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits. CoRR abs/2301.07835 (2023) - [i80]Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe:
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. CoRR abs/2302.02570 (2023) - [i79]Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe:
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks. CoRR abs/2303.00799 (2023) - [i78]Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe:
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. CoRR abs/2305.12640 (2023) - [i77]Sanket Shah, Andrew Perrault, Bryan Wilder, Milind Tambe:
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize. CoRR abs/2305.16830 (2023) - [i76]Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe:
Reflections from the Workshop on AI-Assisted Decision Making for Conservation. CoRR abs/2307.08774 (2023) - [i75]Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, Milind Tambe:
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health. CoRR abs/2308.09726 (2023) - [i74]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR abs/2310.14526 (2023) - [i73]Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja:
Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation. CoRR abs/2311.07139 (2023) - [i72]Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez:
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. CoRR abs/2312.09983 (2023) - 2022
- [j83]Palvi Aggarwal, Omkar Thakoor, Shahin Jabbari, Edward A. Cranford, Christian Lebiere, Milind Tambe, Cleotilde Gonzalez:
Designing effective masking strategies for cyberdefense through human experimentation and cognitive models. Comput. Secur. 117: 102671 (2022) - [c394]Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. AAAI 2022: 5219-5227 - [c393]Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe:
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. AAAI 2022: 12017-12025 - [c392]Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Micronutrient Deficiency Prediction via Publicly Available Satellite Data. AAAI 2022: 12454-12460 - [c391]Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe:
Using Public Data to Predict Demand for Mobile Health Clinics. AAAI 2022: 12461-12467 - [c390]Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe:
Facilitating Human-Wildlife Cohabitation through Conflict Prediction. AAAI 2022: 12496-12502 - [c389]Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe:
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. AAMAS 2022: 880-888 - [c388]Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. AAMAS 2022: 1001-1009 - [c387]Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. IJCAI 2022: 620-627 - [c386]Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay:
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. IJCAI 2022: 5129-5135 - [c385]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. IJCAI 2022: 5206-5212 - [c384]Milind Tambe:
AI for Social Impact: Results from Deployments for Public Health and Conversation. KDD 2022: 2 - [c383]Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS 2022 - [c382]Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning. UAI 2022: 990-1000 - [c381]Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik:
Solving structured hierarchical games using differential backward induction. UAI 2022: 1107-1117 - [i71]Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe:
Networked Restless Multi-Armed Bandits for Mobile Interventions. CoRR abs/2201.12408 (2022) - [i70]Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe:
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. CoRR abs/2202.00916 (2022) - [i69]James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber:
Artificial Intelligence for Cyber Security (AICS). CoRR abs/2202.14010 (2022) - [i68]Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe:
Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems. CoRR abs/2203.16067 (2022) - [i67]Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay:
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. CoRR abs/2204.13663 (2022) - [i66]Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. CoRR abs/2204.14173 (2022) - [i65]Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe:
Ranked Prioritization of Groups in Combinatorial Bandit Allocation. CoRR abs/2205.05659 (2022) - [i64]Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe:
Optimistic Whittle Index Policy: Online Learning for Restless Bandits. CoRR abs/2205.15372 (2022) - [i63]Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu:
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits. CoRR abs/2210.00025 (2022) - [i62]Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. CoRR abs/2211.00112 (2022) - [i61]Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller:
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR abs/2211.06318 (2022) - 2021
- [j82]Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Milind Tambe, Sarah Cooney, Christian Lebiere:
Towards a Cognitive Theory of Cyber Deception. Cogn. Sci. 45(7) (2021) - [j81]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Allocating outreach resources for disease control in a dynamic population with information spread. IISE Trans. 53(6): 629-642 (2021) - [c380]Bryan Wilder, Michael J. Mina, Milind Tambe:
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference. AAAI 2021: 4883-4891 - [c379]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe:
Fair Influence Maximization: a Welfare Optimization Approach. AAAI 2021: 11630-11638 - [c378]Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe:
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. AAAI 2021: 14948-14956 - [c377]Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. AAAI 2021: 14974-14982 - [c376]Jackson A. Killian, Andrew Perrault, Milind Tambe:
Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits. AAMAS 2021: 710-718 - [c375]Aditya Mate, Andrew Perrault, Milind Tambe:
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. AAMAS 2021: 880-888 - [c374]Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. AAMAS 2021: 992-1000 - [c373]Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe:
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. AAMAS 2021: 1353-1361 - [c372]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. AAMAS 2021: 1467-1468 - [c371]Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS 2021: 1680-1682 - [c370]Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Hamid Abdullah, Divy Thakkar, Dhyanesh Narayanan, Milind Tambe:
Measuring Data Collection Diligence for Community Healthcare. EAAMO 2021: 10:1-10:12 - [c369]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. IJCAI 2021: 4039-4046 - [c368]Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe:
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. KDD 2021: 871-881 - [c367]Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe:
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS 2021: 8795-8806 - [c366]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust reinforcement learning under minimax regret for green security. UAI 2021: 257-267 - [c365]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-aware influence maximization: A reinforcement learning approach. UAI 2021: 1535-1545 - [i60]Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe:
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach. CoRR abs/2101.02766 (2021) - [i59]Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik:
A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR abs/2102.10646 (2021) - [i58]Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe:
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. CoRR abs/2103.04730 (2021) - [i57]Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe:
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. CoRR abs/2103.09052 (2021) - [i56]Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe:
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare. CoRR abs/2105.07965 (2021) - [i55]Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. CoRR abs/2106.03278 (2021) - [i54]Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe:
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR abs/2106.03279 (2021) - [i53]Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik:
Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR abs/2106.04663 (2021) - [i52]Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe:
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach. CoRR abs/2106.07039 (2021) - [i51]Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe:
Robust Reinforcement Learning Under Minimax Regret for Green Security. CoRR abs/2106.08413 (2021) - [i50]Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe:
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. CoRR abs/2106.12024 (2021) - [i49]Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe:
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning. CoRR abs/2107.01689 (2021) - [i48]Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. CoRR abs/2107.03003 (2021) - [i47]Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe:
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health. CoRR abs/2109.08075 (2021) - [i46]Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe:
Facilitating human-wildlife cohabitation through conflict prediction. CoRR abs/2109.10637 (2021) - 2020
- [j80]Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. AI Mag. 41(4): 3-16 (2020) - [j79]Lindsay E. Young, Jerome R. Mayaud, Sze-Chuan Suen, Milind Tambe, Eric Rice:
Modeling the dynamism of HIV information diffusion in multiplex networks of homeless youth. Soc. Networks 63: 112-121 (2020) - [j78]Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere:
Toward Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models. Top. Cogn. Sci. 12(3): 992-1011 (2020) - [c364]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. AAAI 2020: 1369-1377 - [c363]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
End-to-End Game-Focused Learning of Adversary Behavior in Security Games. AAAI 2020: 1378-1386 - [c362]Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. AAAI 2020: 1504-1511 - [c361]Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI 2020: 2226-2235 - [c360]Ankit Bhardwaj, Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval:
Robust Lock-Down Optimization for COVID-19 Policy Guidance. AI4SG@AAAI Fall Symposium 2020 - [c359]Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. AAMAS 2020: 575-583 - [c358]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS 2020: 992-1000 - [c357]Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe:
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS 2020: 1449-1457 - [c356]Omkar Thakoor, Shahin Jabbari, Palvi Aggarwal, Cleotilde Gonzalez, Milind Tambe, Phebe Vayanos:
Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games. GameSec 2020: 103-124 - [c355]Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere:
Adaptive Cyber Deception: Cognitively Informed Signaling for Cyber Defense. HICSS 2020: 1-10 - [c354]Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). ICDE 2020: 1898-1901 - [c353]Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe:
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach. MABS 2020: 54-65 - [c352]Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. NeurIPS 2020 - [c351]Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe:
Collapsing Bandits and Their Application to Public Health Intervention. NeurIPS 2020 - [c350]Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik:
Robust Spatial-Temporal Incident Prediction. UAI 2020: 360-369 - [c349]Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe:
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV 2020: 1736-1745 - [p8]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Phebe Vayanos:
Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. Adaptive Autonomous Secure Cyber Systems 2020: 183-204 - [i45]Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR abs/2001.00088 (2020) - [i44]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR abs/2006.06865 (2020) - [i43]Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe:
Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement. CoRR abs/2006.07590 (2020) - [i42]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe:
Fair Influence Maximization: A Welfare Optimization Approach. CoRR abs/2006.07906 (2020) - [i41]Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. CoRR abs/2006.10815 (2020) - [i40]Lily Xu, Andrew Perrault, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe:
Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers. CoRR abs/2006.12411 (2020) - [i39]Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe:
Collapsing Bandits and Their Application to Public Health Interventions. CoRR abs/2007.04432 (2020) - [i38]Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi, Bryan Wilder, Robin Petering, Chyna Hill, Amulya Yadav, Milind Tambe:
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness. CoRR abs/2007.07747 (2020) - [i37]Bryan Wilder, Michael J. Mina, Milind Tambe:
Tracking disease outbreaks from sparse data with Bayesian inference. CoRR abs/2009.05863 (2020) - [i36]Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. CoRR abs/2009.06560 (2020) - [i35]Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe:
Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness. CoRR abs/2009.09559 (2020) - [i34]Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe:
Measuring Data Collection Quality for Community Healthcare. CoRR abs/2011.02962 (2020) - [i33]Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew J. Plumptre, Milind Tambe:
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery. CoRR abs/2011.10666 (2020) - [i32]Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe:
Efficient Reservoir Management through Deep Reinforcement Learning. CoRR abs/2012.03822 (2020) - [i31]Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe:
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. CoRR abs/2012.10389 (2020) - [i30]Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe:
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR abs/2012.12839 (2020)
2010 – 2019
- 2019
- [j77]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [c348]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. AAAI 2019: 1658-1665 - [c347]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI 2019: 2020-2028 - [c346]Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe:
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS 2019: 395-403 - [c345]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. AAMAS 2019: 1838-1840 - [c344]Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe:
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. AAMAS 2019: 1892-1894 - [c343]Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS 2019: 2042-2044 - [c342]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe:
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. AAMAS 2019: 2168-2170 - [c341]Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld:
General-Sum Cyber Deception Games under Partial Attacker Valuation Information. AAMAS 2019: 2215-2217 - [c340]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Using Game Theory in Real Time in the Real World: A Conservation Case Study. AAMAS 2019: 2336-2338 - [c339]Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec 2019: 238-258 - [c338]Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang:
Cyber Camouflage Games for Strategic Deception. GameSec 2019: 525-541 - [c337]Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An:
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec 2019: 542-562 - [c336]Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. IJCAI 2019: 5997-6005 - [c335]Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. KDD 2019: 2430-2438 - [c334]Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. NeurIPS 2019: 4674-4685 - [c333]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS 2019: 15750-15761 - [c332]Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) 2019: 555-569 - [c331]Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe:
Mobile Game Theory with Street Gangs. PKDD/ECML Workshops (1) 2019: 579-589 - [c330]Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe:
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) 2019: 725-740 - [i29]Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe:
Artificial Intelligence for Social Good. CoRR abs/1901.05406 (2019) - [i28]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). CoRR abs/1902.00171 (2019) - [i27]Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. CoRR abs/1902.01506 (2019) - [i26]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
Decision-Focused Learning of Adversary Behavior in Security Games. CoRR abs/1903.00958 (2019) - [i25]Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. CoRR abs/1903.00967 (2019) - [i24]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. CoRR abs/1903.06113 (2019) - [i23]Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. CoRR abs/1903.06669 (2019) - [i22]Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. CoRR abs/1905.13732 (2019) - [i21]Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. CoRR abs/1907.05912 (2019) - [i20]Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Learning policies for Social network discovery with Reinforcement learning. CoRR abs/1907.11625 (2019) - [i19]Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR abs/1911.08799 (2019) - 2018
- [c329]Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. AAAI Workshops 2018: 344-347 - [c328]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. AAAI Workshops 2018: 522-529 - [c327]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. AAAI 2018: 841-848 - [c326]Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe:
Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI 2018: 1103-1112 - [c325]Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI 2018: 1290-1297 - [c324]Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Maximizing Influence in an Unknown Social Network. AAAI 2018: 4743-4750 - [c323]Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia:
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI 2018: 7741-7746 - [c322]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Influence Maximization for Social Network Based Substance Abuse Prevention. AAAI 2018: 8139-8140 - [c321]Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe:
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES 2018: 41-47 - [c320]Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu:
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES 2018: 257-263 - [c319]Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel:
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. AAMAS 2018: 823-831 - [c318]Bryan Wilder, Han-Ching Ou, Kayla de la Haye, Milind Tambe:
Optimizing Network Structure for Preventative Health. AAMAS 2018: 841-849 - [c317]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik:
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS 2018: 892-900 - [c316]Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An:
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS 2018: 919-927 - [c315]Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End-to-End Influence Maximization in the Field. AAMAS 2018: 1414-1422 - [c314]Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe:
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS 2018: 1423-1431 - [c313]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the: Modeling Influence Spread in Natural-World Social Networks. AAMAS 2018: 1631-1639 - [c312]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
Inducible Equilibrium for Security Games. AAMAS 2018: 1947-1949 - [c311]Haifeng Xu, Shaddin Dughmi, Milind Tambe, Venil Loyd Noronha:
Mitigating the Curse of Correlation in Security Games by Entropy Maximization. AAMAS 2018: 2127-2129 - [c310]Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe:
Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. CogSci 2018 - [c309]Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe:
Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. CPAIOR 2018: 35-51 - [c308]Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS 2018: 40:1-40:12 - [c307]Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Scaling-Up Stackelberg Security Games Applications Using Approximations. GameSec 2018: 432-452 - [c306]Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos:
Imbalanced Collusive Security Games. GameSec 2018: 583-602 - [c305]Aida Rahmattalabi, Phebe Vayanos, Milind Tambe:
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. GameSec 2018: 603-622 - [c304]Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End to end influence maximization for HIV prevention. AIH@IJCAI 2018: 181-192 - [c303]Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe:
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI 2018: 454-460 - [c302]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. IJCAI 2018: 5399-5403 - [c301]Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe:
Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI 2018: 5494-5501 - [c300]Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI 2018: 5814-5816 - [c299]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. ECML/PKDD (3) 2018: 69-85 - [i18]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. CoRR abs/1809.05504 (2018) - [i17]Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe:
Decentralized dynamic task allocation for UAVs with limited communication range. CoRR abs/1809.07863 (2018) - [i16]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR abs/1811.03823 (2018) - 2017
- [j76]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe:
Every team deserves a second chance: an extended study on predicting team performance. Auton. Agents Multi Agent Syst. 31(5): 1003-1054 (2017) - [j75]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux:
PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Mag. 38(1): 23-36 (2017) - [j74]Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Mag. 38(2): 35-47 (2017) - [j73]Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Predicting poaching for wildlife Protection. IBM J. Res. Dev. 61(6): 3:1-3:12 (2017) - [j72]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Robin Petering, Milind Tambe:
Using social networks to raise HIV awareness among homeless youth. IBM J. Res. Dev. 61(6): 4:1-4:10 (2017) - [c298]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. AAAI Fall Symposia 2017: 149-157 - [c297]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. AAMAS 2017: 150-158 - [c296]Debarun Kar, Benjamin J. Ford, Shahrzad Gholami, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. AAMAS 2017: 159-167 - [c295]Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe:
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. AAMAS 2017: 1305-1313 - [c294]Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford:
VIOLA: Video Labeling Application for Security Domains. GameSec 2017: 377-396 - [c293]Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Optimal Patrol Planning for Green Security Games with Black-Box Attackers. GameSec 2017: 458-477 - [c292]Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Influence Maximization with an Unknown Network by Exploiting Community Structure. SocInf@IJCAI 2017: 2-7 - [c291]Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha:
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI 2017: 8-19 - [c290]Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter:
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. IJCAI 2017: 381-387 - [c289]Sara Marie McCarthy, Phebe Vayanos, Milind Tambe:
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. IJCAI 2017: 3770-3776 - [c288]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. IJCAI 2017: 4959-4963 - [c287]Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test. ECML/PKDD (3) 2017: 292-304 - [i15]Haifeng Xu, Milind Tambe, Shaddin Dughmi, Venil Loyd Noronha:
The Curse of Correlation in Security Games and Principle of Max-Entropy. CoRR abs/1703.03912 (2017) - [i14]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks. CoRR abs/1710.00364 (2017) - [i13]Elizabeth Bondi, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Fei Fang, Arvind Iyer, Robert Hannaford:
Video Labeling for Automatic Video Surveillance in Security Domains. CoRR abs/1710.08526 (2017) - [i12]Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Practical Scalability for Stackelberg Security Games. CoRR abs/1711.04208 (2017) - 2016
- [j71]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arnaud Lyet:
Comparing human behavior models in repeated Stackelberg security games: An extended study. Artif. Intell. 240: 65-103 (2016) - [j70]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 37(2): 47-62 (2016) - [j69]Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe:
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games 7(3): 15 (2016) - [c286]Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe:
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. AAAI 2016: 425-431 - [c285]Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion:
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. AAAI 2016: 3880-3886 - [c284]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux:
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI 2016: 3966-3973 - [c283]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe:
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI 2016: 4355-4356 - [c282]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping for Health Interventions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c281]Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Protecting Wildlife under Imperfect Observation. AAAI Workshop: Computer Poker and Imperfect Information Games 2016 - [c280]Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI 2016: 4107-4112 - [c279]Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI 2016: 4242-4243 - [c278]Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe:
POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) 2016: 67-87 - [c277]Yundi Qian, Chao Zhang, Bhaskar Krishnamachari, Milind Tambe:
Restless Poachers: Handling Exploration-Exploitation Tradeoffs in Security Domains. AAMAS 2016: 123-131 - [c276]Haifeng Xu, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, Milind Tambe:
Signaling in Bayesian Stackelberg Games. AAMAS 2016: 150-158 - [c275]Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe:
Using Abstractions to Solve Opportunistic Crime Security Games at Scale. AAMAS 2016: 196-204 - [c274]Arunesh Sinha, Debarun Kar, Milind Tambe:
Learning Adversary Behavior in Security Games: A PAC Model Perspective. AAMAS 2016: 214-222 - [c273]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty. AAMAS 2016: 740-748 - [c272]Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. AAMAS 2016: 767-775 - [c271]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract). AAMAS 2016: 1439-1440 - [c270]Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole D. Sintov, Milind Tambe:
SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration). AAMAS 2016: 1498-1500 - [c269]Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe:
HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration). AAMAS 2016: 1504-1506 - [c268]Yasaman Abbasi, Debarun Kar, Nicole D. Sintov, Milind Tambe, Noam Ben-Asher, Don Morrison, Cleotilde Gonzalez:
Know Your Adversary: Insights for a Better Adversarial Behavioral Model. CogSci 2016 - [c267]Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta:
Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games. ECAI 2016: 1476-1484 - [c266]Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole D. Sintov, Milind Tambe:
Toward Addressing Collusion Among Human Adversaries in Security Games. ECAI 2016: 1750-1751 - [c265]Sara Marie McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata:
Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks. GameSec 2016: 39-61 - [c264]Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence, Paul Speer:
Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model. GameSec 2016: 139-158 - [c263]Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole D. Sintov, Milind Tambe:
Divide to Defend: Collusive Security Games. GameSec 2016: 272-293 - [c262]Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe:
Three Strategies to Success: Learning Adversary Models in Security Games. IJCAI 2016: 308-314 - [c261]Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols. IPDPS Workshops 2016: 1831-1838 - [c260]Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe:
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. PAAMS 2016: 97-108 - [e4]Quanyan Zhu, Tansu Alpcan, Emmanouil A. Panaousis, Milind Tambe, William Casey:
Decision and Game Theory for Security - 7th International Conference, GameSec 2016, New York, NY, USA, November 2-4, 2016, Proceedings. Lecture Notes in Computer Science 9996, Springer 2016, ISBN 978-3-319-47412-0 [contents] - [i11]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty - An Extended Version. CoRR abs/1602.00165 (2016) - [i10]Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Amulya Yadav, Milind Tambe:
Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing. CoRR abs/1608.05701 (2016) - 2015
- [j68]Francesco Maria Delle Fave, Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan:
Efficient solutions for joint activity based security games: fast algorithms, results and a field experiment on a transit system. Auton. Agents Multi Agent Syst. 29(5): 787-820 (2015) - [j67]Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang:
From physical security to cybersecurity. J. Cybersecur. 1(1): 19-35 (2015) - [j66]Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs. Multiagent Grid Syst. 11(4): 189-226 (2015) - [c259]Branislav Bosanský, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld:
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies. AAAI 2015: 812-818 - [c258]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen:
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report. AAAI Workshop: Computational Sustainability 2015 - [c257]Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe:
Agents Vote for the Environment: Designing Energy-Efficient Architecture. AAAI Workshop: Computational Sustainability 2015 - [c256]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version). AAAI 2015: 4184-4185 - [c255]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c254]Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe:
Exploring Information Asymmetry in Two-Stage Security Games. AAAI 2015: 1057-1063 - [c253]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
Preventing HIV Spread in Homeless Populations Using PSINET. AAAI 2015: 4006-4011 - [c252]Leandro Soriano Marcolino, Haifeng Xu, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Milind Tambe:
Multi-agent Team Formation for Design Problems. COIN@AAMAS/IJCAI 2015: 354-375 - [c251]Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Deserves a Second Chance: Identifying when Things Go Wrong. AAMAS 2015: 695-703 - [c250]Yundi Qian, William B. Haskell, Milind Tambe:
Robust Strategy against Unknown Risk-averse Attackers in Security Games. AAMAS 2015: 1341-1349 - [c249]Chao Zhang, Arunesh Sinha, Milind Tambe:
Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals. AAMAS 2015: 1351-1359 - [c248]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe:
"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games. AAMAS 2015: 1381-1390 - [c247]Fei Fang, Peter Stone, Milind Tambe:
Defender Strategies In Domains Involving Frequent Adversary Interaction. AAMAS 2015: 1663-1664 - [c246]Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe:
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration). AAMAS 2015: 1909-1910 - [c245]Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, Milind Tambe:
Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration). AAMAS 2015: 1911-1912 - [c244]Thanh Hong Nguyen, Milind Tambe:
A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium). AAMAS 2015: 1963-1964 - [c243]Leandro Soriano Marcolino, Milind Tambe:
Three Fundamental Pillars of Multi-agent Team Formation. AAMAS 2015: 1967-1968 - [c242]Benjamin J. Ford, Thanh Hong Nguyen, Milind Tambe, Nicole D. Sintov, Francesco Maria Delle Fave:
Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games. GameSec 2015: 35-56 - [c241]Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba:
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games. GameSec 2015: 170-191 - [c240]Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe:
Security Games with Information Leakage: Modeling and Computation. IJCAI 2015: 674-680 - [c239]Fei Fang, Peter Stone, Milind Tambe:
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing. IJCAI 2015: 2589-2595 - [i9]Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe:
Security Games With Information Leakage: Modeling and Computation. CoRR abs/1504.06058 (2015) - [i8]Arunesh Sinha, Debarun Kar, Milind Tambe:
Learning Adversary Behavior in Security Games: A PAC Model Perspective. CoRR abs/1511.00043 (2015) - 2014
- [j65]Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe:
An extended study on multi-objective security games. Auton. Agents Multi Agent Syst. 28(1): 31-71 (2014) - [j64]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood:
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility. Auton. Agents Multi Agent Syst. 28(4): 605-636 (2014) - [j63]Jason Tsai, Thanh Hong Nguyen, Nicholas Weller, Milind Tambe:
Game-Theoretic Target Selection in Contagion-Based Domains. Comput. J. 57(6): 893-905 (2014) - [j62]Francesco Maria Delle Fave, Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, Sarit Kraus, John P. Sullivan:
Game-Theoretic Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System. J. Artif. Intell. Res. 50: 321-367 (2014) - [j61]Albert Xin Jiang, Manish Jain, Milind Tambe:
Computational Game Theory for Security and Sustainability. J. Inf. Process. 22(2): 176-185 (2014) - [c238]Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier:
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. AAAI 2014: 756-762 - [c237]Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring:
Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces. AAAI 2014: 1485-1491 - [c236]Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe:
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. AAAI 2014: 1500-1506 - [c235]Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe:
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation. AAAI 2014: 2966-2971 - [c234]William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola:
Robust Protection of Fisheries with COmPASS. AAAI 2014: 2978-2983 - [c233]Leandro Soriano Marcolino, Boian Kolev, Samori Price, Sreerag Palangat Veetil, David Jason Gerber, Josef Musil, Milind Tambe:
Aggregating Opinions to Design Energy-Efficient Buildings. MPREF@AAAI 2014 - [c232]Yevgeniy Vorobeychik, Bo An, Milind Tambe, Satinder Singh:
Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games. ICAPS 2014 - [c231]Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring:
The Power of Teams that Disagree: Team Formation in Large Action Spaces. COIN@AAMAS/PRICAI 2014: 213-232 - [c230]Thanh Hong Nguyen, Albert Xin Jiang, Milind Tambe:
Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games. AAMAS 2014: 317-324 - [c229]Rong Yang, Benjamin J. Ford, Milind Tambe, Andrew Lemieux:
Adaptive resource allocation for wildlife protection against illegal poachers. AAMAS 2014: 453-460 - [c228]Yundi Qian, William B. Haskell, Albert Xin Jiang, Milind Tambe:
Online planning for optimal protector strategies in resource conservation games. AAMAS 2014: 733-740 - [c227]Jun-young Kwak, Debarun Kar, William B. Haskell, Pradeep Varakantham, Milind Tambe:
Building THINC: user incentivization and meeting rescheduling for energy savings. AAMAS 2014: 925-932 - [c226]Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe:
Towards a game theoretic approach for defending against crime diffusion. AAMAS 2014: 1355-1356 - [c225]Francesco Maria Delle Fave, Matthew Brown, Chao Zhang, Eric Anyung Shieh, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan:
Security games in the field: an initial study on a transit system. AAMAS 2014: 1363-1364 - [c224]Benjamin J. Ford, Debarun Kar, Francesco Maria Delle Fave, Rong Yang, Milind Tambe:
PAWS: adaptive game-theoretic patrolling for wildlife protection. AAMAS 2014: 1641-1642 - [c223]Francesco Maria Delle Fave, Matthew Brown, Chao Zhang, Eric Anyung Shieh, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan:
Security Games in the Field: Deployments on a Transit System. EMAS@AAMAS 2014: 103-126 - [c222]Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe:
Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. ECAI 2014: 819-824 - [c221]Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe:
Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms. GameSec 2014: 3-22 - [c220]Matthew Brown, William B. Haskell, Milind Tambe:
Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries. GameSec 2014: 23-42 - [c219]Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe:
Diverse Randomized Agents Vote to Win. NIPS 2014: 2573-2581 - [i7]Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe:
Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness. CoRR abs/1401.3888 (2014) - 2013
- [j60]Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe:
Empirical evaluation of computational fear contagion models in crowd dispersions. Auton. Agents Multi Agent Syst. 27(2): 200-217 (2013) - [j59]Marcos Augusto M. Vieira, Matthew E. Taylor, Prateek Tandon, Manish Jain, Ramesh Govindan, Gaurav S. Sukhatme, Milind Tambe:
Mitigating multi-path fading in a mobile mesh network. Ad Hoc Networks 11(4): 1510-1521 (2013) - [j58]Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John:
Improving resource allocation strategies against human adversaries in security games: An extended study. Artif. Intell. 195: 440-469 (2013) - [j57]Bo An, Fernando Ordóñez, Milind Tambe, Eric Shieh, Rong Yang, Craig Baldwin, Joseph DiRenzo, Kathryn Moretti, Ben Maule, Garrett Meyer:
A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard. Interfaces 43(5): 400-420 (2013) - [j56]Fei Fang, Albert Xin Jiang, Milind Tambe:
Protecting Moving Targets with Multiple Mobile Resources. J. Artif. Intell. Res. 48: 583-634 (2013) - [j55]Francesco Maria Delle Fave, Yundi Qian, Albert Xin Jiang, Matthew Brown, Milind Tambe:
Planning and learning in security games. SIGecom Exch. 12(1): 38-41 (2013) - [c218]Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe:
Analyzing the Effectiveness of Adversary Modeling in Security Games. AAAI 2013: 718-724 - [c217]Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe:
Modeling Crime Diffusion and Crime Suppression on Transportation Networks: An Initial Report. AAAI Fall Symposia 2013 - [c216]Leandro Soriano Marcolino, Chao Zhang, Albert Xin Jiang, Milind Tambe:
A Detailed Analysis of a Multi-agent Diverse Team. COIN@AAMAS/PRIMA 2013: 3-24 - [c215]Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, Sarit Kraus:
Game-theoretic randomization for security patrolling with dynamic execution uncertainty. AAMAS 2013: 207-214 - [c214]Manish Jain, Vincent Conitzer, Milind Tambe:
Security scheduling for real-world networks. AAMAS 2013: 215-222 - [c213]Bo An, Matthew Brown, Yevgeniy Vorobeychik, Milind Tambe:
Security games with surveillance cost and optimal timing of attack execution. AAMAS 2013: 223-230 - [c212]Fei Fang, Albert Xin Jiang, Milind Tambe:
Optimal patrol strategy for protecting moving targets with multiple mobile resources. AAMAS 2013: 957-964 - [c211]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood:
TESLA: an energy-saving agent that leverages schedule flexibility. AAMAS 2013: 965-972 - [c210]Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, Milind Tambe:
Security games with contagion: handling asymmetric information. AAMAS 2013: 1185-1186 - [c209]Thanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus:
Modeling human adversary decision making in security games: an initial report. AAMAS 2013: 1297-1298 - [c208]Samantha Luber, Zhengyu Yin, Francesco Maria Delle Fave, Albert Xin Jiang, Milind Tambe, John P. Sullivan:
Game-theoretic patrol strategies for transit systems: the TRUSTS system and its mobile app. AAMAS 2013: 1377-1378 - [c207]Leandro Soriano Marcolino, Douglass Chen, Albert Xin Jiang, Milind Tambe:
Diversity beats strength?: a hands-on experience with 9x9 go. AAMAS 2013: 1385-1386 - [c206]Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe:
Engineering the Decentralized Coordination of UAVs with Limited Communication Range. CAEPIA 2013: 199-208 - [c205]Albert Xin Jiang, Thanh Hong Nguyen, Milind Tambe, Ariel D. Procaccia:
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers. GameSec 2013: 119-139 - [c204]Albert Xin Jiang, Ariel D. Procaccia, Yundi Qian, Nisarg Shah, Milind Tambe:
Defender (Mis)coordination in Security Games. IJCAI 2013: 220-226 - [c203]Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe:
Multi-Agent Team Formation: Diversity Beats Strength? IJCAI 2013: 279-285 - [c202]Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Milind Tambe:
Efficiently Solving Joint Activity Based Security Games. IJCAI 2013: 346-352 - [c201]Rong Yang, Albert Xin Jiang, Milind Tambe, Fernando Ordóñez:
Scaling-up Security Games with Boundedly Rational Adversaries: A Cutting-plane Approach. IJCAI 2013: 404-410 - [c200]Nupul Kukreja, William G. J. Halfond, Milind Tambe:
Randomizing regression tests using game theory. ASE 2013: 616-621 - [c199]Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, Milind Tambe:
Bayesian Security Games for Controlling Contagion. SocialCom 2013: 33-38 - [p7]Manish Jain, Bo An, Milind Tambe:
Security Games Applied to Real-World: Research Contributions and Challenges. Moving Target Defense 2013: 15-39 - 2012
- [b1]Milind Tambe:
Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned. Cambridge University Press 2012, ISBN 978-1-10-709642-4, pp. I-XIV, 1-319 - [j54]Manish Jain, Bo An, Milind Tambe:
An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety. AI Mag. 33(3): 14-28 (2012) - [j53]Harith Alani, Bo An, Manish Jain, Takashi Kido, George Dimitri Konidaris, William F. Lawless, David L. Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar:
Reports of the AAAI 2012 Spring Symposia. AI Mag. 33(3): 109-114 (2012) - [j52]Zhengyu Yin, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, John P. Sullivan:
TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory. AI Mag. 33(4): 59-72 (2012) - [j51]Bo An, Eric Shieh, Milind Tambe, Rong Yang, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer:
PROTECT - A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard. AI Mag. 33(4): 96-110 (2012) - [c198]Matthew Paul Johnson, Fei Fang, Milind Tambe:
Patrol Strategies to Maximize Pristine Forest Area. AAAI 2012: 295-301 - [c197]Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik:
Security Games with Limited Surveillance. AAAI 2012: 1241-1248 - [c196]Manish Jain, Kevin Leyton-Brown, Milind Tambe:
The Deployment-to-Saturation Ratio in Security Games. AAAI 2012: 1362-1370 - [c195]Jason Tsai, Thanh Hong Nguyen, Milind Tambe:
Security Games for Controlling Contagion. AAAI 2012: 1464-1470 - [c194]Eric Anyung Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer:
PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States. AAAI 2012: 2173-2179 - [c193]Thanh Hong Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv T. Maheswaran, Milind Tambe:
Security Games on Social Networks. AAAI Fall Symposium: Social Networks and Social Contagion 2012 - [c192]Jason Tsai, Nicholas Weller, Milind Tambe:
Analysis of Heuristic Techniques for Controlling Contagion. AAAI Fall Symposium: Social Networks and Social Contagion 2012 - [c191]Bo An, David Kempe, Christopher Kiekintveld, Eric Anyung Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik:
Security Games with Limited Surveillance: An Initial Report. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c190]Manish Jain, Kevin Leyton-Brown, Milind Tambe:
A Study of Phase Transitions in Security Games. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c189]Albert Xin Jiang, Zhengyu Yin, Matthew P. Johnson, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm:
Towards Optimal Patrol Strategies for Fare Inspection in Transit Systems. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c188]Matthew P. Johnson, Fei Fang, Rong Yang, Milind Tambe, Heidi J. Albers:
Challenges in Patrolling to Maximize Pristine Forest Area (Position Paper). AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c187]Milind Tambe, Bo An:
Getting Started on a Real-World Challenge Problem in Computational Game Theory and Beyond. AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge 2012 - [c186]Milind Tambe, Bo An:
Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c185]Yevgeniy Vorobeychik, Bo An, Milind Tambe:
Adversarial Patrolling Games. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health 2012 - [c184]Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer:
PROTECT: a deployed game theoretic system to protect the ports of the United States. AAMAS 2012: 13-20 - [c183]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood:
SAVES: a sustainable multiagent application to conserve building energy considering occupants. AAMAS 2012: 21-28 - [c182]Rong Yang, Fernando Ordóñez, Milind Tambe:
Computing optimal strategy against quantal response in security games. AAMAS 2012: 847-854 - [c181]Zhengyu Yin, Milind Tambe:
A unified method for handling discrete and continuous uncertainty in Bayesian Stackelberg games. AAMAS 2012: 855-862 - [c180]Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe:
Multi-objective optimization for security games. AAMAS 2012: 863-870 - [c179]Ondrej Vanek, Zhengyu Yin, Manish Jain, Branislav Bosanský, Milind Tambe, Michal Pechoucek:
Game-theoretic resource allocation for malicious packet detection in computer networks. AAMAS 2012: 905-912 - [c178]Bostjan Kaluza, Gal A. Kaminka, Milind Tambe:
Detection of suspicious behavior from a sparse set of multiagent interactions. AAMAS 2012: 955-964 - [c177]Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe:
Emotional contagion with virtual characters. AAMAS 2012: 1193-1194 - [c176]James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Rong Yang, Sarit Kraus:
A robust approach to addressing human adversaries in security games. AAMAS 2012: 1297-1298 - [c175]Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran:
Designing better strategies against human adversaries in network security games. AAMAS 2012: 1299-1300 - [c174]Yevgeniy Vorobeychik, Bo An, Milind Tambe:
Adversarial patrolling games. AAMAS 2012: 1307-1308 - [c173]Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood:
Sustainable multiagent application to conserve energy (demonstration). AAMAS 2012: 1455-1456 - [c172]Michal Jakob, Zbynek Moler, Antonín Komenda, Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Michal Pechoucek, Milind Tambe:
AgentPolis: towards a platform for fully agent-based modeling of multi-modal transportation (demonstration). AAMAS 2012: 1501-1502 - [c171]Milind Tambe, Manish Jain, James Adam Pita, Albert Xin Jiang:
Game theory for security: Key algorithmic principles, deployed systems, lessons learned. Allerton Conference 2012: 1822-1829 - [c170]James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Sarit Kraus:
A Robust Approach to Addressing Human Adversaries in Security Games. ECAI 2012: 660-665 - [c169]Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, Milind Tambe, John P. Sullivan:
TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems. IAAI 2012: 2348-2355 - [c168]Jason Tsai, Emma Bowring, Stacy Marsella, Wendy Wood, Milind Tambe:
A Study of Emotional Contagion with Virtual Characters. IVA 2012: 81-88 - 2011
- [j50]Matthew E. Taylor, Manish Jain, Prateek Tandon, Makoto Yokoo, Milind Tambe:
Distributed on-Line Multi-Agent Optimization under Uncertainty: Balancing Exploration and Exploitation. Adv. Complex Syst. 14(3): 471-528 (2011) - [j49]Bostjan Kaluza, Erik Dovgan, Tea Tusar, Milind Tambe, Matjaz Gams:
A probabilistic risk analysis for multimodal entry control. Expert Syst. Appl. 38(6): 6696-6704 (2011) - [j48]Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe:
Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness. J. Artif. Intell. Res. 41: 297-327 (2011) - [j47]Bo An, James Pita, Eric Anyung Shieh, Milind Tambe, Christopher Kiekintveld, Janusz Marecki:
GUARDS and PROTECT: next generation applications of security games. SIGecom Exch. 10(1): 31-34 (2011) - [c167]Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld:
Refinement of Strong Stackelberg Equilibria in Security Games. AAAI 2011: 587-593 - [c166]Manish Jain, Zhengyu Yin, Milind Tambe, Fernando Ordóñez:
Addressing Execution and Observation Error in Security Games. Applied Adversarial Reasoning and Risk Modeling 2011 - [c165]Bostjan Kaluza, Gal A. Kaminka, Milind Tambe:
Towards Detection of Suspicious Behavior from Multiple Observations. Plan, Activity, and Intent Recognition 2011 - [c164]James Pita, Rong Yang, Milind Tambe, Richard John:
Toward Addressing Human Behavior with Observational Uncertainty in Security Games. Applied Adversarial Reasoning and Risk Modeling 2011 - [c163]Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordóñez:
Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty. AAAI 2011: 758-763 - [c162]Bo An, Manish Jain, Milind Tambe, Christopher Kiekintveld:
Mixed-Initiative Optimization in Security Games: A Preliminary Report. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration 2011 - [c161]Rong Yang, Milind Tambe, Manish Jain, Jun-young Kwak, James Pita, Zhengyu Yin:
Game Theory and Human Behavior: Challenges in Security and Sustainability. ADT 2011: 320-330 - [c160]James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, Erin Steigerwald:
GUARDS: game theoretic security allocation on a national scale. AAMAS 2011: 37-44 - [c159]Meritxell Vinyals, Eric Anyung Shieh, Jesús Cerquides, Juan A. Rodríguez-Aguilar, Zhengyu Yin, Milind Tambe, Emma Bowring:
Quality guarantees for region optimal DCOP algorithms. AAMAS 2011: 133-140 - [c158]Manish Jain, Dmytro Korzhyk, Ondrej Vanek, Vincent Conitzer, Michal Pechoucek, Milind Tambe:
A double oracle algorithm for zero-sum security games on graphs. AAMAS 2011: 327-334 - [c157]Jason Tsai, Natalie Fridman, Emma Bowring, Matthew Brown, Shira Epstein, Gal A. Kaminka, Stacy Marsella, Andrew Ogden, Inbal Rika, Ankur Sheel, Matthew E. Taylor, Xuezhi Wang, Avishay Zilka, Milind Tambe:
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison. AAMAS 2011: 457-464 - [c156]Manish Jain, Christopher Kiekintveld, Milind Tambe:
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up. AAMAS 2011: 997-1004 - [c155]Christopher Kiekintveld, Janusz Marecki, Milind Tambe:
Approximation methods for infinite Bayesian Stackelberg games: modeling distributional payoff uncertainty. AAMAS 2011: 1005-1012 - [c154]Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John:
Improved computational models of human behavior in security games. AAMAS 2011: 1155-1156 - [c153]Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe:
Teamwork in distributed POMDPs: execution-time coordination under model uncertainty. AAMAS 2011: 1261-1262 - [c152]Bo An, Milind Tambe:
Game Theory for Security: An Important Challenge for Multiagent Systems. EUMAS 2011: 17-30 - [c151]Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe:
Towards Addressing Model Uncertainty: Robust Execution-Time Coordination for Teamwork. IAT 2011: 204-207 - [c150]Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John:
Improving Resource Allocation Strategy against Human Adversaries in Security Games. IJCAI 2011: 458-464 - [c149]Zhengyu Yin, Milind Tambe:
Continuous Time Planning for Multiagent Teams with Temporal Constraints. IJCAI 2011: 465-471 - [c148]James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, Erin Steigerwald:
GUARDS - Innovative Application of Game Theory for National Airport Security. IJCAI 2011: 2710-2715 - [c147]Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe:
Empirical Evaluation of Computational Emotional Contagion Models. IVA 2011: 384-397 - [c146]Milind Tambe:
Game Theory for Security: Lessons Learned from Deployed Applications. PRIMA 2011: 1 - [i6]Gal A. Kaminka, Milind Tambe:
Robust Agent Teams via Socially-Attentive Monitoring. CoRR abs/1106.0235 (2011) - [i5]Gal A. Kaminka, David V. Pynadath, Milind Tambe:
Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach. CoRR abs/1106.1816 (2011) - [i4]David V. Pynadath, Milind Tambe:
The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models. CoRR abs/1106.4569 (2011) - [i3]David V. Pynadath, Paul Scerri, Milind Tambe:
Towards Adjustable Autonomy for the Real World. CoRR abs/1106.4573 (2011) - [i2]Ranjit Nair, Milind Tambe:
Hybrid BDI-POMDP Framework for Multiagent Teaming. CoRR abs/1109.2132 (2011) - 2010
- [j46]James Pita, Manish Jain, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition. Artif. Intell. 174(15): 1142-1171 (2010) - [j45]Matthew E. Taylor, Christopher Kiekintveld, Craig Western, Milind Tambe:
A Framework for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR? Informatica (Slovenia) 34(2): 129-140 (2010) - [j44]Manish Jain, Jason Tsai, James Pita, Christopher Kiekintveld, Shyamsunder Rathi, Milind Tambe, Fernando Ordóñez:
Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshal Service. Interfaces 40(4): 267-290 (2010) - [j43]Emma Bowring, Milind Tambe, Makoto Yokoo:
Balancing local resources and global goals in multiply-constrained DCOP. Multiagent Grid Syst. 6(4): 353-393 (2010) - [j42]Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Janusz Marecki, Pradeep Varakantham, Milind Tambe:
Introducing communication in Dis-POMDPs with locality of interaction. Web Intell. Agent Syst. 8(3): 303-311 (2010) - [c145]Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe:
Security Games with Arbitrary Schedules: A Branch and Price Approach. AAAI 2010: 792-797 - [c144]Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe:
Teamwork and Coordination under Model Uncertainty in DEC-POMDPs. Interactive Decision Theory and Game Theory 2010 - [c143]Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, Milind Tambe:
Urban Security: Game-Theoretic Resource Allocation in Networked Domains. AAAI 2010: 881-886 - [c142]Matthew E. Taylor, Manish Jain, Yanquin Jin, Makoto Yokoo, Milind Tambe:
When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty. AAMAS 2010: 109-116 - [c141]Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, Milind Tambe:
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds. AAMAS 2010: 133-140 - [c140]Zhengyu Yin, Dmytro Korzhyk, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe:
Stackelberg vs. Nash in security games: interchangeability, equivalence, and uniqueness. AAMAS 2010: 1139-1146 - [c139]Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, Milind Tambe:
How to protect a city: strategic security placement in graph-based domains. AAMAS 2010: 1453-1454 - [c138]Christopher Kiekintveld, Milind Tambe, Janusz Marecki:
Robust Bayesian methods for Stackelberg security games. AAMAS 2010: 1467-1468 - [c137]Christopher Kiekintveld, Janusz Marecki, Milind Tambe:
Methods and Algorithms for Infinite Bayesian Stackelberg Security Games - (Extended Abstract). GameSec 2010: 257-265 - [c136]Milind Tambe:
Game Theory for Security: Lessons Learned from Deployed Applications. Web Intelligence 2010: 2
2000 – 2009
- 2009
- [j41]James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus:
Using Game Theory for Los Angeles Airport Security. AI Mag. 30(1): 43-57 (2009) - [j40]Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Coordinating randomized policies for increasing security of agent systems. Inf. Technol. Manag. 10(1): 67-79 (2009) - [j39]James Pita, Harish Bellamane, Manish Jain, Christopher Kiekintveld, Jason Tsai, Fernando Ordóñez, Milind Tambe:
Security applications: lessons of real-world deployment. SIGecom Exch. 8(2): 5 (2009) - [c135]Pradeep Varakantham, Jun-young Kwak, Matthew E. Taylor, Janusz Marecki, Paul Scerri, Milind Tambe:
Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping. ICAPS 2009 - [c134]Nathan Schurr, Janusz Marecki, Milind Tambe:
Improving adjustable autonomy strategies for time-critical domains. AAMAS (1) 2009: 353-360 - [c133]James Pita, Manish Jain, Fernando Ordóñez, Milind Tambe, Sarit Kraus, Reuma Magori-Cohen:
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties. AAMAS (1) 2009: 369-376 - [c132]Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tambe:
Sensitivity analysis for distributed optimization with resource constraints. AAMAS (1) 2009: 633-640 - [c131]Christopher Kiekintveld, Manish Jain, Jason Tsai, James Pita, Fernando Ordóñez, Milind Tambe:
Computing optimal randomized resource allocations for massive security games. AAMAS (1) 2009: 689-696 - [c130]Janusz Marecki, Milind Tambe:
Planning with continuous resources for agent teams. AAMAS (2) 2009: 1089-1096 - [c129]Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo:
DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. IJCAI 2009: 181-186 - [p6]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Coordinating Randomized Policies for Increasing Security in Multiagent Systems. Safety and Security in Multiagent Systems 2009: 191-207 - [p5]Paul Scerri, Katia P. Sycara, Milind Tambe:
Safety in the Context of Coordination via Adjustable Autonomy. Safety and Security in Multiagent Systems 2009: 208-224 - [p4]Janusz Marecki, Nathan Schurr, Milind Tambe, Paul Scerri:
Analyzing Dangers in Multiagent Rescue Using DEFACTO. Safety and Security in Multiagent Systems 2009: 241-257 - 2008
- [j38]Milind Tambe:
Electric Elves: What Went Wrong and Why. AI Mag. 29(2): 23-27 (2008) - [j37]Jonathan P. Pearce, Milind Tambe, Rajiv T. Maheswaran:
Solving Multiagent Networks using Distributed Constraint Optimization. AI Mag. 29(3): 47-62 (2008) - [j36]Manish Jain, James Pita, Milind Tambe, Fernando Ordóñez, Praveen Paruchuri, Sarit Kraus:
Bayesian stackelberg games and their application for security at Los Angeles international airport. SIGecom Exch. 7(2) (2008) - [c128]Janusz Marecki, Milind Tambe:
Towards Faster Planning with Continuous Resources in Stochastic Domains. AAAI 2008: 1049-1055 - [c127]Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications. AAAI 2008: 1559-1562 - [c126]James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus:
ARMOR Security for Los Angeles International Airport. AAAI 2008: 1884-1885 - [c125]Milind Tambe, Anne Balsamo, Emma Bowring:
Using Science Fiction in Teaching Artificial Intelligence. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science 2008: 86-91 - [c124]James Pita, Manish Jain, Janusz Marecki, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus:
Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport. AAMAS (Industry Track) 2008: 125-132 - [c123]Janusz Marecki, Tapana Gupta, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Not all agents are equal: scaling up distributed POMDPs for agent networks. AAMAS (1) 2008: 485-492 - [c122]Emma Bowring, Jonathan P. Pearce, Christopher Portway, Manish Jain, Milind Tambe:
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms. AAMAS (2) 2008: 607-614 - [c121]Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games. AAMAS (2) 2008: 895-902 - [c120]Nathan Schurr, Janusz Marecki, Milind Tambe:
RIAACT: a robust approach to adjustable autonomy for human-multiagent teams. AAMAS (3) 2008: 1429-1432 - [c119]Amos Freedy, Onur Sert, Elan Freedy, James McDonough, Gershon Weltman, Milind Tambe, Tapana Gupta, William Grayson, Pedro Cabrera:
Multiagent Adjustable Autonomy Framework (MAAF) for multi-robot, multi-human teams. CTS 2008: 498-505 - [c118]Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Milind Tambe, Janusz Marecki, Pradeep Varakantham:
Introducing Communication in Dis-POMDPs with Locality of Interaction. IAT 2008: 169-175 - 2007
- [j35]Karen L. Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda T. Gervasio, Deborah L. McGuinness, David N. Morley, Avi Pfeffer, Martha E. Pollack, Milind Tambe:
An Intelligent Personal Assistant for Task and Time Management. AI Mag. 28(2): 47-61 (2007) - [c117]Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
An Efficient Heuristic for Security against Multiple Adversaries in Stackelberg Games. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents 2007: 38-46 - [c116]Pradeep Varakantham, Janusz Marecki, Milind Tambe, Makoto Yokoo:
SPIDER Attack on a Network of POMDPs: Towards Quality Bounded Solutions. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents 2007: 68-75 - [c115]Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
An efficient heuristic approach for security against multiple adversaries. AAMAS 2007: 181 - [c114]Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, Milind Tambe, Makoto Yokoo:
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies. AAMAS 2007: 218 - [c113]Janusz Marecki, Milind Tambe:
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints. AAMAS 2007: 219 - [c112]Tapana Gupta, Pradeep Varakantham, Timothy W. Rauenbusch, Milind Tambe:
Demonstration of teamwork in uncertain domains using hybrid BDI-POMDP systems. AAMAS 2007: 264 - [c111]Jonathan P. Pearce, Milind Tambe:
Quality Guarantees on k-Optimal Solutions for Distributed Constraint Optimization Problems. IJCAI 2007: 1446-1451 - [c110]Janusz Marecki, Sven Koenig, Milind Tambe:
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources. IJCAI 2007: 2536-2541 - [c109]Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe:
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs. IJCAI 2007: 2638-2644 - 2006
- [j34]Rajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, Milind Tambe:
Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications. Auton. Agents Multi Agent Syst. 13(1): 27-60 (2006) - [c108]Rachel Greenstadt, Jonathan P. Pearce, Milind Tambe:
Analysis of Privacy Loss in Distributed Constraint Optimization. AAAI 2006: 647-653 - [c107]Emma Bowring, Milind Tambe, Makoto Yokoo:
Cooperative Team Plan: Planning, Execution, and Replanning. AAAI Spring Symposium: Distributed Plan and Schedule Management 2006: 25-32 - [c106]Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham, David V. Pynadath, Paul Scerri:
Electric Elves: What Went Wrong and Why. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications 2006: 34-39 - [c105]Yoonheui Kim, Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Exploiting Locality of Interaction in Networked Distributed POMDPs. AAAI Spring Symposium: Distributed Plan and Schedule Management 2006: 41-48 - [c104]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Security in multiagent systems by policy randomization. AAMAS 2006: 273-280 - [c103]Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo:
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces. AAMAS 2006: 289-296 - [c102]Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe:
Solution sets for DCOPs and graphical games. AAMAS 2006: 577-584 - [c101]Emma Bowring, Milind Tambe, Makoto Yokoo:
Multiply-constrained distributed constraint optimization. AAMAS 2006: 1413-1420 - [c100]Rachel Greenstadt, Jonathan P. Pearce, Emma Bowring, Milind Tambe:
Experimental analysis of privacy loss in DCOP algorithms. AAMAS 2006: 1424-1426 - [c99]Pauline M. Berry, Cory Albright, Emma Bowring, Ken Conley, Kenneth Nitz, Jonathan P. Pearce, Bart Peintner, Shahin Saadati, Milind Tambe, Tomás E. Uribe, Neil Yorke-Smith:
Conflict negotiation among personal calendar agents. AAMAS 2006: 1467-1468 - [c98]Nathan Schurr, Pratik Patil, Frédéric H. Pighin, Milind Tambe:
Using multiagent teams to improve the training of incident commanders. AAMAS 2006: 1490-1497 - [c97]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Security in Multiagent Systems by Policy Randomization. AI&M 2006 - [c96]Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe:
Solution Sets for DCOPs and Graphical Games: Metrics and Bounds. AI&M 2006 - [c95]Nathan Schurr, Pradeep Varakantham, Emma Bowring, Milind Tambe, Barbara J. Grosz:
Asimovian Multiagents: Applying Laws of Robotics to Teams of Humans and Agents. PROMAS 2006: 41-55 - [p3]Janusz Marecki, Nathan Schurr, Milind Tambe:
Agent-Based Simulations for Disaster Rescue Using the DEFACTO Coordination System. Emergent Information Technologies and Enabling Policies for Counter-Terrorism 2006 - 2005
- [j33]Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo:
Adopt: asynchronous distributed constraint optimization with quality guarantees. Artif. Intell. 161(1-2): 149-180 (2005) - [j32]Michael N. Huhns, Munindar P. Singh, Mark H. Burstein, Keith S. Decker, Edmund H. Durfee, Timothy W. Finin, Les Gasser, Hrishikesh J. Goradia, Nicholas R. Jennings, Kiran Lakkaraju, Hideyuki Nakashima, H. Van Dyke Parunak, Jeffrey S. Rosenschein, Alicia Ruvinsky, Gita Sukthankar, Samarth Swarup, Katia P. Sycara, Milind Tambe, Thomas Wagner, Rosa Laura Zavala Gutierrez:
Research Directions for Service-Oriented Multiagent Systems. IEEE Internet Comput. 9(6): 65-70 (2005) - [j31]Ranjit Nair, Milind Tambe:
Hybrid BDI-POMDP Framework for Multiagent Teaming. J. Artif. Intell. Res. 23: 367-420 (2005) - [j30]Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri:
Towards flexible coordination of human-agent teams. Multiagent Grid Syst. 1(1): 3-16 (2005) - [c94]Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs. AAAI 2005: 133-139 - [c93]Nathan Schurr, Janusz Marecki, John P. Lewis, Milind Tambe, Paul Scerri:
The DEFACTO System: Training Tool for Incident Commanders. AAAI 2005: 1555-1562 - [c92]Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri, Nikhil Kasinadhuni, John P. Lewis:
The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 9-16 - [c91]Emma Bowring, Milind Tambe, Makoto Yokoo:
Optimize My Schedule but Keep It Flexible: Distributed Multi-Criteria Coordination for Personal Assistants. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 39-46 - [c90]Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe:
Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 60-67 - [c89]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Practical POMDPs for Personal Assistant Domains. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI 2005: 68-75 - [c88]Milind Tambe, Emma Bowring, Hyuckchul Jung, Gal A. Kaminka, Rajiv T. Maheswaran, Janusz Marecki, Pragnesh Jay Modi, Ranjit Nair, Stephen Okamoto, Jonathan P. Pearce, Praveen Paruchuri, David V. Pynadath, Paul Scerri, Nathan Schurr, Pradeep Varakantham:
Conflicts in teamwork: hybrids to the rescue. AAMAS 2005: 3-10 - [c87]Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri:
Demonstration of DEFACTO: training tool for incident commanders. AAMAS 2005: 147-148 - [c86]Paul Scerri, Alessandro Farinelli, Steven Okamoto, Milind Tambe:
Allocating tasks in extreme teams. AAMAS 2005: 727-734 - [c85]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Exploiting belief bounds: practical POMDPs for personal assistant agents. AAMAS 2005: 978-985 - [c84]Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe:
Valuations of Possible States (VPS): a quantitative framework for analysis of privacy loss among collaborative personal assistant agents. AAMAS 2005: 1030-1037 - [c83]Syed Muhammad Ali, Sven Koenig, Milind Tambe:
Preprocessing techniques for accelerating the DCOP algorithm ADOPT. AAMAS 2005: 1041-1048 - [c82]Nathan Schurr, Janusz Marecki, Nikhil Kasinadhuni, Milind Tambe, John P. Lewis, Paul Scerri:
The DEFACTO system for human omnipresence to coordinate agent teams: the future of disaster response. AAMAS 2005: 1229-1230 - [c81]Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe:
How local is that optimum? k-optimality for DCOP. AAMAS 2005: 1303-1304 - [c80]Hyuckchul Jung, Milind Tambe:
On Communication in Solving Distributed Constraint Satisfaction Problems. CEEMAS 2005: 418-429 - [c79]Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo:
Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs. IJCAI 2005: 1758-1760 - [c78]Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe:
Implementation Techniques for Solving POMDPs in Personal Assistant Agents. PROMAS 2005: 76-89 - [p2]Ranjit Nair, Milind Tambe, Stacy Marsella:
The Role of Emotions in Multiagent Teamwork. Who Needs Emotions? 2005: 311-330 - [p1]Nathan Schurr, Janusz Marecki, John P. Lewis, Milind Tambe, Paul Scerri:
The DEFACTO System: Coordinating Human-Agent Teams for the Future of Disaster Response. Multi-Agent Programming 2005: 197-215 - 2004
- [j29]Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor Raines:
Automated Assistants for Analyzing Team Behaviors. Auton. Agents Multi Agent Syst. 8(1): 69-111 (2004) - [c77]Rajiv T. Maheswaran, Jonathan P. Pearce, Milind Tambe:
Distributed Algorithms for DCOP: A Graphical-Game-Based Approach. PDCS 2004: 432-439 - [c76]Rajiv T. Maheswaran, Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham:
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling. AAMAS 2004: 310-317 - [c75]Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus:
Towards a Formalization of Teamwork with Resource Constraints. AAMAS 2004: 596-603 - [c74]Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yokoo:
Communication for Improving Policy Computation in Distributed POMDPs. AAMAS 2004: 1098-1105 - [c73]Hyuckchul Jung, Milind Tambe:
On Communication in Distributed Constraint Satisfaction. AAMAS 2004: 1480-1481 - [c72]Paul Scerri, Alessandro Farinelli, Stephen Okamoto, Milind Tambe:
Allocating Roles in Extreme Teams. AAMAS 2004: 1502-1503 - [c71]Syed Muhammad Ali, Sven Koenig, Milind Tambe:
Preprocessing Techniques for Distributed Constraint Optimization. CP 2004: 706-710 - [c70]Ranjit Nair, Milind Tambe:
Coordinating Teams in Uncertain Environments: A Hybrid BDI-POMDP Approach. PROMAS 2004: 1-37 - [c69]Paul Scerri, Alessandro Farinelli, Stephen Okamoto, Milind Tambe:
Token Approach for Role Allocation in Extreme Teams: Analysis and Experimental Evaluation. WETICE 2004: 397-402 - 2003
- [j28]David V. Pynadath, Milind Tambe:
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans. Auton. Agents Multi Agent Syst. 7(1-2): 71-100 (2003) - [c68]Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo:
An asynchronous complete method for distributed constraint optimization. AAMAS 2003: 161-168 - [c67]Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen L. Myers:
Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper. Agents and Computational Autonomy 2003: 187-194 - [c66]Hyuckchul Jung, Milind Tambe:
Performance models for large scale multiagent systems: using distributed POMDP building blocks. AAMAS 2003: 297-304 - [c65]Paul Scerri, David V. Pynadath, W. Lewis Johnson, Paul S. Rosenbloom, Mei Si, Nathan Schurr, Milind Tambe:
A prototype infrastructure for distributed robot-agent-person teams. AAMAS 2003: 433-440 - [c64]Ranjit Nair, Milind Tambe, Stacy Marsella:
Role allocation and reallocation in multiagent teams: towards a practical analysis. AAMAS 2003: 552-559 - [c63]Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. Pynadath, Stacy Marsella:
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings. IJCAI 2003: 705-711 - [c62]Paul Scerri, David V. Pynadath, Nathan Schurr, Alessandro Farinelli, Sudeep Gandhe, Milind Tambe:
Team Oriented Programming and Proxy Agents: The Next Generation. PROMAS 2003: 131-148 - [c61]Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe:
Are Multiagent Algorithms Relevant for Real Hardware? A Case Study of Distributed Constraint Algorithms. SAC 2003: 38-44 - 2002
- [j27]Edmund H. Durfee, Sarit Kraus, Hideyuki Nakashima, Milind Tambe:
Editorial. Artif. Intell. 142(2): 95-97 (2002) - [j26]Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe:
Electric Elves: Agent Technology for Supporting Human Organizations. AI Mag. 23(2): 11-24 (2002) - [j25]Peggy S. Eaton, Thom W. Frühwirth, Milind Tambe:
Special Issue on Constraint Agents. Constraints An Int. J. 7(1): 5-6 (2002) - [j24]David V. Pynadath, Milind Tambe:
The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models. J. Artif. Intell. Res. 16: 389-423 (2002) - [j23]Gal A. Kaminka, David V. Pynadath, Milind Tambe:
Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach. J. Artif. Intell. Res. 17: 83-135 (2002) - [j22]Paul Scerri, David V. Pynadath, Milind Tambe:
Towards Adjustable Autonomy for the Real World. J. Artif. Intell. Res. 17: 171-228 (2002) - [c60]Paul Scerri, David V. Pynadath, Milind Tambe:
Why the elf acted autonomously: towards a theory of adjustable autonomy. AAMAS 2002: 857-864 - [c59]David V. Pynadath, Milind Tambe:
Multiagent teamwork: analyzing the optimality and complexity of key theories and models. AAMAS 2002: 873-880 - [c58]Hyuckchul Jung, Ranjit Nair, Milind Tambe, Stacy Marsella:
Computational Models for Multiagent Coordination Analysis: Extending Distributed POMDP Models. FAABS 2002: 103-114 - [c57]Ranjit Nair, Milind Tambe, Stacy Marsella:
Team Formation for Reformation in Multiagent Domains Like RoboCupRescue. RoboCup 2002: 150-161 - [e3]John-Jules Ch. Meyer, Milind Tambe:
Intelligent Agents VIII, 8th International Workshop, ATAL 2001 Seattle, WA, USA, August 1-3, 2001, Revised Papers. Lecture Notes in Computer Science 2333, Springer 2002, ISBN 3-540-43858-0 [contents] - 2001
- [j21]Stacy Marsella, Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Gal A. Kaminka, Ion Muslea:
Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams. Auton. Agents Multi Agent Syst. 4(1/2): 115-129 (2001) - [c56]Paul Scerri, David V. Pynadath, Milind Tambe:
Adjustable autonomy in real-world multi-agent environments. Agents 2001: 300-307 - [c55]Gal A. Kaminka, David V. Pynadath, Milind Tambe:
Monitoring deployed agent teams. Agents 2001: 308-315 - [c54]Hyuckchul Jung, Milind Tambe, Shriniwas Kulkarni:
Argumentation as distributed constraint satisfaction: applications and results. Agents 2001: 324-331 - [c53]John-Jules Ch. Meyer, Milind Tambe:
Introduction. ATAL 2001: 1-5 - [c52]Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, Wei-Min Shen, Shriniwas Kulkarni:
Dynamic Distributed Resource Allocation: A Distributed Constraint Satisfaction Approach. ATAL 2001: 264-276 - [c51]David V. Pynadath, Milind Tambe:
Revisiting Asimov's First Law: A Response to the Call to Arms. ATAL 2001: 307-320 - [c50]Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, Wei-Min Shen, Shriniwas Kulkarni:
A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation. CP 2001: 685-700 - [c49]Milind Tambe, David V. Pynadath:
Towards Heterogeneous Agent Teams. EASSS 2001: 187-210 - [c48]Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe:
Electric Elves: Applying Agent Technology to Support Human Organizations. IAAI 2001: 51-58 - [c47]Ranjit Nair, Takayuki Ito, Milind Tambe, Stacy Marsella:
Task Allocation in the RoboCup Rescue Simulation Domain: A Short Note. RoboCup 2001: 751-754 - 2000
- [j20]Milind Tambe, Weixiong Zhang:
Towards Flexible Teamwork in Persistent Teams: Extended Report. Auton. Agents Multi Agent Syst. 3(2): 159-183 (2000) - [j19]Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar:
Overview of RoboCup-98. AI Mag. 21(1): 9-19 (2000) - [j18]Milind Tambe, Taylor Raines, Stacy Marsella:
Agent Assistants for Team Analysis. AI Mag. 21(3): 27-31 (2000) - [j17]Milind Tambe, David V. Pynadath, Nicolas Chauvat:
Building Dynamic Agent Organizations in Cyberspace. IEEE Internet Comput. 4(2): 65-73 (2000) - [j16]Gal A. Kaminka, Milind Tambe:
Robust Agent Teams via Socially-Attentive Monitoring. J. Artif. Intell. Res. 12: 105-147 (2000) - [c46]David V. Pynadath, Milind Tambe, Gal A. Kaminka:
Adaptive Infrastructures for Agent Integration. Agents Workshop on Infrastructure for Multi-Agent Systems 2000: 80-93 - [c45]David V. Pynadath, Milind Tambe, Nicolas Chauvat:
Building dynamic organizations of distributed, heterogenous agents. Agents 2000: 195-196 - [c44]Taylor Raines, Milind Tambe, Stacy Marsella:
Automated assistants to aid humans in understanding team behaviors. Agents 2000: 419-426 - [c43]Milind Tambe, David V. Pynadath, Paul Scerri:
Adjustable Autonomy: A Response. ATAL 2000: 354-356 - [c42]Hyuckchul Jung, Milind Tambe, Weixiong Zhang, Wei-Min Shen:
Towards Large-Scale Conflict Resolution: Initial Results. ICMAS 2000: 403-404
1990 – 1999
- 1999
- [j15]Milind Tambe, Jafar Adibi, Y. Alonaizon, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea:
Building Agent Teams Using an Explicit Teamwork Model and Learning. Artif. Intell. 110(2): 215-239 (1999) - [j14]Milind Tambe, Hyuckchul Jung:
The Benefits of Arguing in a Team. AI Mag. 20(4): 85-92 (1999) - [c41]Taylor Raines, Milind Tambe, Stacy Marsella:
Automated Team Analysis. AAAI/IAAI 1999: 922 - [c40]Gal A. Kaminka, Milind Tambe:
I'm OK, you're OK, we're OK: Experiments in Distributed and Centralized Socially Attentive Monitoring. Agents 1999: 213-220 - [c39]Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Gal A. Kaminka, Ion Muslea, Milind Tambe:
On Being a Teammate: Experiences Acquired in the design of RoboCup Teams. Agents 1999: 221-227 - [c38]Zhun Qiu, Milind Tambe, Hyuckchul Jung:
Towards Flexible Negotiation in Teamwork. Agents 1999: 400-401 - [c37]David V. Pynadath, Milind Tambe, Nicolas Chauvat, Lawrence Cavedon:
Toward Team-Oriented Programming. ATAL 1999: 233-247 - [c36]Milind Tambe, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Taylor Raines:
Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches. IJCAI 1999: 276-283 - [c35]Taylor Raines, Milind Tambe, Stacy Marsella:
Automated Assistants to Aid Humans in Understanding Team Behaviors. RoboCup 1999: 85-102 - 1998
- [j13]Milind Tambe:
Implementing Agent Teams in Dynamic Multiagent Environments. Appl. Artif. Intell. 12(2-3): 189-210 (1998) - [j12]Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Marcelo Tallis:
ISIS: An Explicit Model of Teamwork at RobotCup-97. AI Mag. 19(3): 56 (1998) - [j11]Milind Tambe, W. Lewis Johnson, Wei-Min Shen:
Adaptive agent tracking in real-world multiagent domains: a preliminary report. Int. J. Hum. Comput. Stud. 48(1): 105-124 (1998) - [c34]Gal A. Kaminka, Milind Tambe:
What Is Wrong With Us? Improving Robustness Through Social Diagnosis. AAAI/IAAI 1998: 97-104 - [c33]Gal A. Kaminka, Milind Tambe:
A Synergy of Agent Components: Social Comparison for Failure Detection. Agents 1998: 459-460 - [c32]Michael P. Georgeff, Barney Pell, Martha E. Pollack, Milind Tambe, Michael J. Wooldridge:
The Belief-Desire-Intention Model of Agency. ATAL 1998: 1-10 - [c31]Milind Tambe, Weixiong Zhang:
Towards Flexible Teamwork in Persistent Teams. ICMAS 1998: 277-284 - [c30]Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar:
Overview of RoboCup-98. RoboCup 1998: 1-21 - [c29]Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Randall W. Hill Jr., Gal A. Kaminka, Zhun Qiu, Milind Tambe:
Using an Explicit Teamwork Model and Learning in RoboCup: An Extended Abstract. RoboCup 1998: 237-245 - [e2]Alexis Drogoul, Milind Tambe, Toshio Fukuda:
Collective Robotics, First International Workshop, CRW'98, Paris, France, July 4-5, 1998, Proceedings. Lecture Notes in Computer Science 1456, Springer 1998, ISBN 3-540-64768-6 [contents] - 1997
- [j10]Milind Tambe, Piotr J. Gmytrasiewicz:
AAAI-96 Workshop on Agent Modeling (Workshop Report). AI Mag. 18(3): 87-88 (1997) - [j9]Milind Tambe:
Towards Flexible Teamwork. J. Artif. Intell. Res. 7: 83-124 (1997) - [c28]Milind Tambe:
Agent Architectures for Flexible, Practical Teamwork. AAAI/IAAI 1997: 22-28 - [c27]Bonghan Cho, Paul S. Rosenbloom, Milind Tambe:
Efficient Production Match Algorithm and Its Implication for Dynamic Constraint Satisfaction Problems. AAAI/IAAI 1997: 825 - [c26]Gal A. Kaminka, Milind Tambe:
Social Comparison for Failure Detection and Recovery in Multi-Agent Settings. AAAI/IAAI 1997: 834 - [c25]Randall W. Hill Jr., Johnny Chen, Jonathan Gratch, Paul S. Rosenbloom, Milind Tambe:
Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft. AAAI/IAAI 1997: 1006-1012 - [c24]Gal A. Kaminka, Milind Tambe:
Social Comparison for Failure Detection and Recovery. ATAL 1997: 127-141 - [c23]Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada:
The RoboCup Synthetic Agent Challenge 97. IJCAI (1) 1997: 24-30 - [c22]Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada:
The RoboCup Synthetic Agent Challenge 97. RoboCup 1997: 62-73 - [c21]Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Marcelo Tallis:
Using an Explicit Model of Teamwork in RoboCup-97. RoboCup 1997: 123-131 - [i1]Milind Tambe:
Towards Flexible Teamwork. CoRR cs.AI/9709101 (1997) - 1996
- [j8]Milind Tambe, Paul S. Rosenbloom:
Event Tracking in a Dynamic Multiagent Environment. Comput. Intell. 12: 499-521 (1996) - [c20]Milind Tambe:
Tracking Dynamic Team Activity. AAAI/IAAI, Vol. 1 1996: 80-87 - [c19]Milind Tambe, Ernesto Brodersohn-Ostrovich:
Some Challenges in Tracking Agent Teams. Agent Modeling 1996: 83-89 - [e1]Michael J. Wooldridge, Jörg P. Müller, Milind Tambe:
Intelligent Agents II, Agent Theories, Architectures, and Languages, IJCAI '95, Workshop (ATAL), Montreal, Canada, August 19-20, 1995, Proceedings. Lecture Notes in Computer Science 1037, Springer 1996, ISBN 3-540-60805-2 [contents] - 1995
- [j7]Milind Tambe, W. Lewis Johnson, Randolph M. Jones, Frank V. Koss, John E. Laird, Paul S. Rosenbloom, Karl Schwamb:
Intelligent Agents for Interactive Simulation Environments. AI Mag. 16(1): 15-39 (1995) - [c18]Milind Tambe, Paul S. Rosenbloom:
Architectures for Agents that Track Other Agents in Multi-Agent Worlds. ATAL 1995: 156-170 - [c17]Michael J. Wooldridge, Jörg P. Müller, Milind Tambe:
Agent Theories, Architectures, and Languages: A Bibliography. ATAL 1995: 408-431 - [c16]Milind Tambe:
Recursive Agent and Agent-Group Tracking in a Real-Time Dynamic Environment. ICMAS 1995: 368-375 - [c15]Milind Tambe, Paul S. Rosenbloom:
RESC: An Approach for Real-time, Dynamic Agent Tracking. IJCAI 1995: 103-111 - 1994
- [j6]Milind Tambe, Paul S. Rosenbloom:
Investigating Production System Representations for Non-Combinatorial Match. Artif. Intell. 68(1): 155-199 (1994) - [c14]Milind Tambe, Paul S. Rosenbloom:
Event Tracking for an Intelligent Automated Agent. TIME 1994: 60-68 - 1993
- [c13]Milind Tambe, Paul S. Rosenbloom:
On the Masking Effect. AAAI 1993: 526-533 - [c12]Anurag Acharya, Milind Tambe:
Collection Oriented Match. CIKM 1993: 516-526 - 1992
- [j5]Franz Barachini, Toru Ishida, Milind Tambe:
Workshop Report: Advances in Interfacing Production Systems with the Real World. AI Mag. 13(1): 25-26 (1992) - [j4]Anurag Acharya, Milind Tambe, Anoop Gupta:
Implementation of Production Systems on Message-Passing Computers. IEEE Trans. Parallel Distributed Syst. 3(4): 477-487 (1992) - [c11]Robert B. Doorenbos, Milind Tambe, Allen Newell:
Learning 10, 000 Chunks: What's It Like Out There? AAAI 1992: 830-836 - [c10]Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe:
Is Production System Match Interesting? ICTAI 1992: 2-3 - [c9]Milind Tambe, Dirk Kalp, Paul S. Rosenbloom:
An Efficient Algorithm for Production Systems with Linear-Time Match. ICTAI 1992: 36-43 - 1991
- [j3]Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown, Allen Newell:
The Effectiveness of Task-Level Parallelism for Production Systems. J. Parallel Distributed Comput. 13(4): 395-411 (1991) - 1990
- [j2]Milind Tambe, Allen Newell, Paul S. Rosenbloom:
The Problem of Expensive Chunks and its Solution by Restricting Expressiveness. Mach. Learn. 5: 299-348 (1990) - [c8]Milind Tambe, Paul S. Rosenbloom:
A Frameworkfor Investigating Production System Formulations with Polynomially Bounded Match. AAAI 1990: 693-700 - [c7]Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown, Allen Newell:
The Effectiveness of Task-Level Parallelism for High-Level Vision. PPoPP 1990: 156-167
1980 – 1989
- 1989
- [c6]Anurag Acharya, Milind Tambe:
Production Systems on Message Passing Computers: Simulation Results and Analysis. ICPP (2) 1989: 246-254 - [c5]Milind Tambe, Paul S. Rosenbloom:
Eliminating Expensive Chunks by Restricting Expressiveness. IJCAI 1989: 731-737 - 1988
- [j1]Anoop Gupta, Milind Tambe, Dirk Kalp, Charles Forgy, Allen Newell:
Parallel implementation of OPS5 on the encore multiprocessor: Results and analysis. Int. J. Parallel Program. 17(2): 95-124 (1988) - [c4]Anoop Gupta, Milind Tambe:
Suitability of Message Passing Computers for Implementing Production Systems. AAAI 1988: 687-692 - [c3]Milind Tambe, Allen Newell:
Some Chunks Are Expensive. ML 1988: 451-458 - [c2]Anoop Gupta, Charles Forgy, Dirk Kalp, Allen Newell, Milind Tambe:
Parallel OPS5 on the Encore Multimax. ICPP (1) 1988: 71-280 - [c1]Milind Tambe, Dirk Kalp, Anoop Gupta, Charles Forgy, Brian Milnes, Allen Newell:
Soar/PSM-E: Investigating Match Parallelism in a Learning Production System. PPOPP/PPEALS 1988: 146-160
Coauthor Index
Elizabeth Bondi-Kelly
aka: Elizabeth Bondi
aka: Elizabeth Bondi
[c385] [i65] [c377] [c366] [i51] [j80] [c364] [p8] [i45] [i36] [j77] [c347] [c345] [c343] [c340] [c339] [c338] [i29] [c329] [c326] [c323] [c317] [c312] [c308] [c301] [i16] [j75] [j74] [j73] [c296] [c294] [c293] [c287] [i13] [j71] [c284] [c283] [c280] [c262] [c258] [c248] [c247] [c239] [c236] [c234] [j56] [c212] [c198] [c188] [c175]
Aditya Mate
aka: Aditya S. Mate
aka: Aditya S. Mate
James Pita
aka: James Adam Pita
aka: James Adam Pita
Eric Anyung Shieh
aka: Eric Shieh
aka: Eric Shieh
[c425] [i94] [c402] [c398] [c397] [i80] [i77] [c383] [i68] [j81] [c380] [c378] [i48] [c363] [c362] [c359] [c352] [i44] [i41] [i38] [i37] [i35] [c348] [c336] [c335] [c334] [c333] [c332] [i27] [i26] [i25] [i22] [i21] [i20] [c328] [c327] [c324] [c321] [c318] [c315] [c313] [c309] [c304] [c302] [i18] [c297] [c295] [c292] [i14] [c270] [c266] [c263]
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last updated on 2025-01-09 19:36 CET by the dblp team
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