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Conference and Workshop Papers
- 2023
[c7]Hongchang Zhang, Jianzhun Shao, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. AAAI 2023: 11210-11218- [c6]Hongchang Zhang, Yixiu Mao, Boyuan Wang, Shuncheng He, Yi Xu, Xiangyang Ji:
In-sample Actor Critic for Offline Reinforcement Learning. ICLR 2023 - [c5]Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
Complementary Attention for Multi-Agent Reinforcement Learning. ICML 2023: 30776-30793 - 2022
- [c4]Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. AAAI 2022: 6884-6892 - [c3]Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji:
State Deviation Correction for Offline Reinforcement Learning. AAAI 2022: 9022-9030 - [c2]Yuhang Jiang, Jianzhun Shao, Shuncheng He, Hongchang Zhang, Xiangyang Ji:
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning. NeurIPS 2022 - [c1]Jianzhun Shao, Zhiqiang Lou, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning. NeurIPS 2022
Informal and Other Publications
- 2021
- [i4]Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. CoRR abs/2102.12957 (2021) - [i3]Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji:
Reducing Conservativeness Oriented Offline Reinforcement Learning. CoRR abs/2103.00098 (2021) - [i2]Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. CoRR abs/2110.07940 (2021) - 2020
- [i1]Shuncheng He, Jianzhun Shao, Xiangyang Ji:
Skill Discovery of Coordination in Multi-agent Reinforcement Learning. CoRR abs/2006.04021 (2020)
Coauthor Index
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