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Exploiting Reward Shifting in Value-Based Deep RL


Sep 15, 2022
Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou


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Relative Policy-Transition Optimization for Fast Policy Transfer


Jun 13, 2022
Lei Han, Jiawei Xu, Cheng Zhou, Yizheng Zhang, Zhengyou Zhang


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RORL: Robust Offline Reinforcement Learning via Conservative Smoothing


Jun 06, 2022
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han

* 23 pages, 10 figures 

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Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL


Feb 14, 2022
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

* Accepted by International Conference on Learning Representations (ICLR) 2022 

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Dynamic Bottleneck for Robust Self-Supervised Exploration


Oct 25, 2021
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang

* NeurIPS 2021 

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Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning


Aug 30, 2021
Shenao Zhang, Li Shen, Lei Han, Li Shen


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MHER: Model-based Hindsight Experience Replay


Jul 01, 2021
Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li

* 18 pages, 10 figures 

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Principled Exploration via Optimistic Bootstrapping and Backward Induction


May 17, 2021
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang

* ICML 2021 

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