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ORCID1st CoRL 2017: Mountain View, CA, USA
- 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, California, USA, November 13-15, 2017, Proceedings. Proceedings of Machine Learning Research 78, PMLR 2017
- Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. 1-16 - Vincenzo Lomonaco, Davide Maltoni:
CORe50: a New Dataset and Benchmark for Continuous Object Recognition. 17-26 - Yan Zuo, Tom Drummond:
Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation. 27-36 - Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters:
Active Incremental Learning of Robot Movement Primitives. 37-46 - Rika Antonova, Akshara Rai, Christopher G. Atkeson:
Deep Kernels for Optimizing Locomotion Controllers. 47-56 - Humphrey Hu, George Kantor:
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision. 57-66 - Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Opportunistic Active Learning for Grounding Natural Language Descriptions. 67-76 - Tatiana Lopez-Guevara, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation. 77-86 - Edward J. Smith, David Meger:
Improved Adversarial Systems for 3D Object Generation and Reconstruction. 87-96 - Reza Iraji, Hamidreza Chitsaz:
Principal Variety Analysis. 97-108 - Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning. 109-118 - Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine:
End-to-End Learning of Semantic Grasping. 119-132 - Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. 133-142 - Michael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg:
DART: Noise Injection for Robust Imitation Learning. 143-156 - Zackory Erickson, Sonia Chernova, Charles C. Kemp:
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks. 157-166 - Daniel Tanneberg, Jan Peters, Elmar Rueckert:
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. 167-174 - Jose Ramon Medina, Aude Billard:
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models. 175-184 - Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. 185-194 - Gabriel Kalweit, Joschka Boedecker:
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. 195-206 - Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas:
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. 207-216 - Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan:
Learning Robot Objectives from Physical Human Interaction. 217-226 - Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe:
Optimizing Long-term Predictions for Model-based Policy Search. 227-238 - Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox:
Learning Robotic Manipulation of Granular Media. 239-248 - Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. 249-261 - Andrei A. Rusu, Matej Vecerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell:
Sim-to-Real Robot Learning from Pixels with Progressive Nets. 262-270 - Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer:
Learning Heuristic Search via Imitation. 271-280 - Markus Wulfmeier, Ingmar Posner, Pieter Abbeel:
Mutual Alignment Transfer Learning. 281-290 - Ulrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt Jr.:
Learning a visuomotor controller for real world robotic grasping using simulated depth images. 291-300 - Maciej Klimek, Henryk Michalewski, Piotr Milos:
Hierarchical Reinforcement Learning with Parameters. 301-313 - Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan
, Justin Lin, Edward H. Adelson, Sergey Levine:
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? 314-323 - Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese:
image2mass: Estimating the Mass of an Object from Its Image. 324-333 - Stephen James, Andrew J. Davison, Edward Johns:
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. 334-343 - Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine:
Self-Supervised Visual Planning with Temporal Skip Connections. 344-356 - Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine:
One-Shot Visual Imitation Learning via Meta-Learning. 357-368 - Harish Chaandar Ravichandar, Iman Salehi, Ashwin P. Dani:
Learning Partially Contracting Dynamical Systems from Demonstrations. 369-378 - Joseph Campbell, Heni Ben Amor:
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction. 379-387 - Nima Fazeli, Samuel Zapolsky, Evan M. Drumwright, Alberto Rodriguez:
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact. 388-397 - Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen:
Emergent Behaviors in Mixed-Autonomy Traffic. 398-407 - Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel:
How Robots Learn to Classify New Objects Trained from Small Data Sets. 408-417 - Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg:
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. 418-437 - John D. Martin, Brendan J. Englot:
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments. 438-447 - Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu:
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics. 448-457 - Ransalu Senanayake, Fabio Ramos:
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping. 458-471 - Joshua Whitman, Girish Chowdhary:
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems. 472-481 - Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel:
Reverse Curriculum Generation for Reinforcement Learning. 482-495 - Nikhil Das, Naman Gupta, Michael C. Yip:
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection. 496-504 - Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell:
Gradient-free Policy Architecture Search and Adaptation. 505-514 - Jeffrey Mahler, Ken Goldberg:
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences. 515-524 - Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate:
Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora. 525-534
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