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Generalized Minimum Error Entropy for Adaptive Filtering


Sep 08, 2021
Jiacheng He, Gang Wang, Bei Peng, Zhenyu Feng, Kun Zhang

* 9 pages, 8 figures 

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SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments


Jul 01, 2021
Kai Liu, Yuyang Zhao, Gang Wang, Bei Peng

* 30 pages 

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Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients


May 06, 2021
Bozhidar Vasilev, Tarun Gupta, Bei Peng, Shimon Whiteson

* AAMAS Adaptive and Learning Agents Workshop. 20th International Conference on Autonomous Agents and Multiagent Systems 

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Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning


Mar 22, 2021
Ling Pan, Tabish Rashid, Bei Peng, Longbo Huang, Shimon Whiteson


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UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning


Oct 06, 2020
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson

* Under review 

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RODE: Learning Roles to Decompose Multi-Agent Tasks


Oct 04, 2020
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang


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Weighted QMIX: Expanding Monotonic Value Function Factorisation


Jun 18, 2020
Tabish Rashid, Gregory Farquhar, Bei Peng, Shimon Whiteson


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AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning


Jun 07, 2020
Shariq Iqbal, Christian A. Schroeder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha


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Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control


Mar 18, 2020
Christian Schroeder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip Torr, Wendelin Böhmer, Shimon Whiteson


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Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey


Mar 10, 2020
Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone


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Optimistic Exploration even with a Pessimistic Initialisation


Feb 26, 2020
Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson

* Published as a conference paper at ICLR 2020 

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VIABLE: Fast Adaptation via Backpropagating Learned Loss


Nov 29, 2019
Leo Feng, Luisa Zintgraf, Bei Peng, Shimon Whiteson

* Published at the 3rd Workshop on Meta-Learning at NeurIPS 2019 

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Interactive Learning of Environment Dynamics for Sequential Tasks


Jul 19, 2019
Robert Loftin, Bei Peng, Matthew E. Taylor, Michael L. Littman, David L. Roberts


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Interactive Learning from Policy-Dependent Human Feedback


Jan 21, 2017
James MacGlashan, Mark K Ho, Robert Loftin, Bei Peng, David Roberts, Matthew E. Taylor, Michael L. Littman

* 7 pages, 2 figures 

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