PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation. - Jianzhun Shao; Yuhang Jiang; Gu Wang 001; Zhigang Li 004; Xiangyang Ji (CVPR, 2020)

Self6D: Self-supervised Monocular 6D Object Pose Estimation. - Gu Wang 001; Fabian Manhardt; Jianzhun Shao; Xiangyang Ji; Nassir Navab; Federico Tombari (ECCV (1), 2020)

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)

Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning. - Juntong Zeng; Jianzhun Shao; Shen Lin; Hongchang Zhang; Xiaoting Su; Xiaocong Lian; Yan Zhao; Xiangyang Ji; Zhe Zheng (J. Am. Medical Informatics Assoc., 2022)

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

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Yang Feng; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (NeurIPS, 2023)

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. - Jianzhun Shao; Yun Qu 002; Chen Chen; Hongchang Zhang; Xiangyang Ji (NeurIPS, 2023)

LLM-Empowered State Representation for Reinforcement Learning. - Boyuan Wang; Yun Qu 002; Yuhang Jiang; Jianzhun Shao; Chang Liu 030; Wenming Yang; Xiangyang Ji (ICML, 2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Junfeng Yang; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (CoRR, 2024)

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. - Yun Qu 002; Boyuan Wang; Yuhang Jiang; Jianzhun Shao; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (CoRR, 2024)

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