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ORCIDICA 2024: Wollongong, Australia
- IEEE International Conference on Agents, ICA 2024, Wollongong, Australia, December 4-6, 2024. IEEE 2024, ISBN 979-8-3315-3991-7
- Yikun Yang, Fenghui Ren, Minjie Zhang, Jun Yan, Fei Xie, Weiwei Gao:
A BDI Agent-Based Asynchronous Scheduling Framework For Cloud Computing. 1-6 - Shengjun Ma, Pawan Sudhir Karkal, Jing Ma, Fakhrul Alam:
A Comparison of the Performance of ResNet and DenseNet for Obstacle Avoidance and Path Following on a Mobile Robot Using Embedded GPUs. 7-12 - Feilai Zhou, Lei Niu:
A Framework Design of a Personalized Learning Pathway Recommendation. 13-14 - Shuang Chang:
A modularized agent-based framework for causal-based policy-making. 15-18 - Takayuki Ito:
A Multiple-Nash-SA Mediator for Huge Design Utility Spaces in Automated Negotiations. 19-24 - Yuta Ohno, Sachiyo Arai:
Achieving Preferable Agreement by Utilizing offline Negotiation dialogue on Decision Transformer. 25-30 - Naohiro Takakuwa, Sachiyo Arai:
Action-Integrated QAttn: Introducing Action Values into Value Decomposition for Effective Cooperation among Heterogenous Agents. 31-32 - Yikun Yang, Fenghui Ren, Minjie Zhang, Jun Yan, Shujin Jia, Jing Wen:
An Adaptive BDI Agent-Based System Design for Distributed 3D-Container Loading. 33-36 - Kevin Malysiak, Fenghui Ren, Bo Du:
An Agent-Based Decentralised Approach to Disturbances in Rail Systems. 37-38 - Jie Yun, Zehong Cao:
Autonomous Driving Agents for Safe Road Junctions Through Deep Reinforcement Learning. 39-44 - Junhui Shang, Jun Yan, Fenghui Ren:
BDI Agents Based Dynamic Resource Allocation in Emergency Scenarios. 45-49 - Riku Yoshioka, Koichi Moriyama, Yuko Sakurai:
Can curiosity enhance the quality of on-demand delivery services? 50-55 - Zhonghai Ruan, Chao Yu:
Causality-Guided Exploration for Multi-Agent Reinforcement Learning. 56-59 - Brighter Agyemang, Fenghui Ren, Jun Yan:
Density-Based Hysteretic Learning for Fully Decentralised Environments. 60-63 - Shan Cong, Chao Yu, Yaowei Wang, Dongmei Jiang, Xiangyuan Lan:
Disentangled Task Representation Learning for Offline Meta Reinforcement Learning. 64-69 - Curtis Davies, Babak Esfandiari:
Event Sourcing in Jason: Event-Driven State Reconstruction for BDI Agents. 70-75 - Hayato Chujo, Sachiyo Arai:
Event-triggered Reinforcement Learning to Obtain Stable Train Operation Strategies. 76-81 - Justin Loh Teng Hao, Li Rong Wang, Chang Liu, Chanwoo Choi, Siyuan Liu, Xiuyi Fan:
Exploring Epistemic and Distributional Uncertainties in Algorithmic Trading Agents. 82-87 - Ziying Zhao, Weihua Li, Jing Ma, Jianhua Jiang, Quan Bai:
Fair Influence Maximization in Social Networks: A Group-Fairness-aware Multi-Objective Grey Wolf Optimizer. 88-93 - Wei Deng, Lan Wang, Xinyu Meng, Guoyin Wang:
Heterogeneity and Isomerism based Improved Sugarscape Modeling for Real Estate Market Cycles. 94-99 - He Zhao, Zhiwei Zeng, Yongwei Wang, Deheng Ye, Chunyan Miao:
HGAttack: Transferable Heterogeneous Graph Adversarial Attack. 100-105 - Takahiro Uchiya, Ichi Takumi:
Improving the Execution Time of a Path Negotiation Method Using a Task-based Utility Function. 106-107 - Ayano Ibuka, Kazuto Sasai:
Inverse Bayesian Inference for Player Agents in Computer Daihinmin Game. 108-109 - XiaWei Wu, Chao Yu, Weiqi Luo:
KANStock: A KAN-Integrated Reinforcement Learning Approach for Predictive Portfolio Management with Dynamic Risk Control. 110-113 - Kazuki Takemi, Takuto Sakuma, Shohei Kato:
Large size magic square generation using multi-stage evolutionary strategy. 114-119 - Takayoshi Sakurai, Shun Shiramatsu, Ryosuke Kinoshita:
LLM-based Agent for Recommending Information Related to Web Discussions at Appropriate Timing. 120-123 - Qilin Liu, Shun Shiramatsu:
LLM-based Automated Facilitator for Building Effective Consensus on Mission and Vision Definition. 124-127 - Jinghong Li, Prarinya Siritanawan, Wen Gu, Shinobu Hasegawa:
Multi-Agent Approach for Dynamic Research Insight Path Generation. 128-129 - Dechen Jiang, Chixin Xiao, Maoxin He:
Multi-Agent-Based Decomposition and Coordination for Solving Non-Convex Constrained Optimization in Cogeneration System with Transmission Loss. 130-135 - Haolin Jin, Zechao Sun, Huaming Chen:
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance. 136-141 - Kota Minoshima, Sachiyo Arai:
Self-Refinement of Reward Function by Utilizing Failure Trajectories. 142-145 - Narjes Nourzad, Bhaskar Krishnamachari, Matthew Kahn:
Smart Crystal Ball on a Budget: Reinforcement Learning and Prediction for Budget-Friendly Comfort. 146-151 - Shuhao Liao, Xuehong Liu, Wenjun Wu, Rongye Shi, Junyu Zhang, Haopeng Wang:
Synaptic Weight Optimization for Oscillatory Neural Networks: A Multi-Agent RL Approach. 152-158 - Hao Meng, Qian Zhao, Xiaosong Wang, Jun Shen, Yunheng Luo, Fei Xie:
The Collaborative Intelligent Mathematics Tutoring Agent Platform. 159-163 - Alicia Vidler, Toby Walsh:
TraderTalk: An LLM Behavioural ABM applied to Simulating Human Bilateral Trading Interactions. 164-167 - Danish Khan, Xujuan Zhou, Jianming Yong, Xiaohui Tao:
User Equipment Privacy and Security Issues in 5G Network. 168-173
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last updated on 2025-01-28 22:20 CET by the dblp team
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