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

Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning. - Jianzhun Shao; Hongchang Zhang; Yuhang Jiang 001; Shuncheng He; Xiangyang Ji (CoRR, 2021)

Reducing Conservativeness Oriented Offline Reinforcement Learning. - Hongchang Zhang; Jianzhun Shao; Yuhang Jiang 001; Shuncheng He; Xiangyang Ji (CoRR, 2021)

Wasserstein Unsupervised Reinforcement Learning. - Shuncheng He; Yuhang Jiang 001; Hongchang Zhang; Jianzhun Shao; Xiangyang Ji (AAAI, 2022)

State Deviation Correction for Offline Reinforcement Learning. - Hongchang Zhang; Jianzhun Shao; Yuhang Jiang 001; Shuncheng He; Guanwen Zhang; Xiangyang Ji (AAAI, 2022)

SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning. - Yuhang Jiang 001; 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 001; Shuncheng He; Xiangyang Ji (NeurIPS, 2022)

Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning. - Zihan Zhang; Yuhang Jiang 001; Yuan Zhou 007; Xiangyang Ji (NeurIPS, 2022)

DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning. - Hongchang Zhang; Jianzhun Shao; Shuncheng He; Yuhang Jiang 001; 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 001; 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 001; Chen Chen; Zhenbin Ye; Lin Liu; Yang Feng; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (NeurIPS, 2023)

LLM-Empowered State Representation for Reinforcement Learning. - Boyuan Wang; Yun Qu 002; Yuhang Jiang 001; Jianzhun Shao; Chang Liu 030; Wenming Yang; Xiangyang Ji (ICML, 2024)

Doubly Mild Generalization for Offline Reinforcement Learning. - Yixiu Mao; Qi Wang 005; Yun Qu 002; Yuhang Jiang 001; Xiangyang Ji (NeurIPS, 2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang 001; 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 001; Jianzhun Shao; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (CoRR, 2024)

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. - Yun Qu 002; Yuhang Jiang 001; Boyuan Wang; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (AAAI, 2025)

Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model. - Shuncheng He; Hongchang Zhang; Jianzhun Shao; Yuhang Jiang 001; Xiangyang Ji (CoRR, 2025)

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models. - Yun Qu 002; Qi Wang 005; Yixiu Mao; Heming Zou; Yuhang Jiang 001; Weijie Liu; Clive Bai; Kai Yang; Yangkun Chen; Saiyong Yang; Xiangyang Ji (CoRR, 2026)

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex. - Yun Qu 002; Qi Wang 005; Yixiu Mao; Heming Zou; Yuhang Jiang 001; Yingyue Li; Wutong Xu; Lizhou Cai; Weijie Liu; Clive Bai; Kai Yang; Yangkun Chen; et al. (CoRR, 2026)