Skill Discovery of Coordination in Multi-agent Reinforcement Learning. - Shuncheng He; Jianzhun Shao; Xiangyang Ji (CoRR, 2020)

Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. - Jianzhun Shao; Hongchang Zhang; Yuhang Jiang; Shuncheng He; Xiangyang Ji (CoRR, 2021)

Reducing Conservativeness Oriented Offline Reinforcement Learning. - Hongchang Zhang; Jianzhun Shao; Yuhang Jiang; Shuncheng He; Xiangyang Ji (CoRR, 2021)

Wasserstein Unsupervised Reinforcement Learning. - Shuncheng He; Yuhang Jiang; Hongchang Zhang; Jianzhun Shao; Xiangyang Ji (AAAI, 2022)

State Deviation Correction for Offline Reinforcement Learning. - Hongchang Zhang; Jianzhun Shao; Yuhang Jiang; Shuncheng He; Guanwen Zhang; Xiangyang Ji (AAAI, 2022)

SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning. - Yuhang Jiang; Jianzhun Shao; Shuncheng He; Hongchang Zhang; Xiangyang Ji (NeurIPS, 2022)

Self-Organized Group for Cooperative Multi-agent Reinforcement Learning. - Jianzhun Shao; Zhiqiang Lou; Hongchang Zhang; Yuhang Jiang; Shuncheng He; Xiangyang Ji (NeurIPS, 2022)

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. - Hongchang Zhang; Jianzhun Shao; Shuncheng He; Yuhang Jiang; Xiangyang Ji (AAAI, 2023)

In-sample Actor Critic for Offline Reinforcement Learning. - Hongchang Zhang; Yixiu Mao; Boyuan Wang; Shuncheng He; Yi Xu 008; Xiangyang Ji (ICLR, 2023)

Complementary Attention for Multi-Agent Reinforcement Learning. - Jianzhun Shao; Hongchang Zhang; Yun Qu 002; Chang Liu 030; Shuncheng He; Yuhang Jiang; Xiangyang Ji (ICML, 2023)

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model. - Shuncheng He; Hongchang Zhang; Jianzhun Shao; Yuhang Jiang; Xiangyang Ji (CoRR, 2025)