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Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration


Nov 22, 2021
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang


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Offline Reinforcement Learning with Value-based Episodic Memory


Oct 19, 2021
Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang


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Containerized Distributed Value-Based Multi-Agent Reinforcement Learning


Oct 15, 2021
Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang


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LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates


Oct 15, 2021
Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan


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Offline Reinforcement Learning with Reverse Model-based Imagination


Oct 01, 2021
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang


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On the Estimation Bias in Double Q-Learning


Sep 29, 2021
Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang

* Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS 2021) 

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Context-Aware Sparse Deep Coordination Graphs


Jun 05, 2021
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang


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Celebrating Diversity in Shared Multi-Agent Reinforcement Learning


Jun 04, 2021
Chenghao Li, Chengjie WU, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang


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Efficient Hierarchical Exploration with Stable Subgoal Representation Learning


May 31, 2021
Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang


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Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL


Apr 23, 2021
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang


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Generalizable Episodic Memory for Deep Reinforcement Learning


Mar 11, 2021
Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, Chongjie Zhang


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Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning


Dec 06, 2020
Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang

* 7 pages,12 figures 

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Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning


Oct 23, 2020
Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang

* Published on 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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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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QPLEX: Duplex Dueling Multi-Agent Q-Learning


Aug 03, 2020
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang


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Off-Policy Multi-Agent Decomposed Policy Gradients


Jul 24, 2020
Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang


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SOAC: The Soft Option Actor-Critic Architecture


Jun 25, 2020
Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao


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Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning


Jun 23, 2020
Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang


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Learn to Effectively Explore in Context-Based Meta-RL


Jun 15, 2020
Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang

* Committed to NeurIPS 2020 

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Influence-Based Multi-Agent Exploration


Oct 12, 2019
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang


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Learning Nearly Decomposable Value Functions Via Communication Minimization


Oct 11, 2019
Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang


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Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards


Oct 10, 2019
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang

* Camera ready version for NeurIPS 2019 

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Object-Oriented Dynamics Learning through Multi-Level Abstraction


May 25, 2019
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang

* Accepted to Deep Reinforcement Learning Workshop and Modeling the Physical World: Learning, Perception, and Control Workshop at NeurIPS 2018 

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Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games


Mar 07, 2019
Xinliang Song, Tonghan Wang, Chongjie Zhang

* AAMAS 2019 

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Object-Oriented Dynamics Predictor


Oct 30, 2018
Guangxiang Zhu, Zhiao Huang, Chongjie Zhang

* Accepted to NIPS 2018 

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Context-Aware Policy Reuse


Jun 28, 2018
Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang

* This version is the preprint for the submission of NIPS 2018 

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An Optimal Online Method of Selecting Source Policies for Reinforcement Learning


Sep 24, 2017
Siyuan Li, Chongjie Zhang


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