A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges. - Yunpeng Qing; Shunyu Liu 001; Jie Song 011; Mingli Song (CoRR, 2022)

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Kaixuan Chen 004; Tongya Zheng; Yanhao Huang; Jie Song 011; Mingli Song (CoRR, 2023)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yunfu Liu; Mingli Song (CoRR, 2023)

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. - Feiyang Xu; Shunyu Liu 001; Yunpeng Qing; Yihe Zhou; Yuwen Wang; Mingli Song (KDD, 2024)

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective. - Yunpeng Qing; Shunyu Liu 001; Jingyuan Cong; Kaixuan Chen 004; Yihe Zhou; Mingli Song (NeurIPS, 2024)

Advantage-Aware Policy Optimization for Offline Reinforcement Learning. - Yunpeng Qing; Shunyu Liu 001; Jingyuan Cong; Kaixuan Chen 004; Yihe Zhou; Mingli Song (CoRR, 2024)

CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. - Yihe Zhou; Shunyu Liu 001; Yunpeng Qing; Tongya Zheng; Kaixuan Chen 004; Jie Song 011; Mingli Song (AAMAS, 2025)

Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. - Kaixuan Chen 004; Wei Luo; Shunyu Liu 001; Yaoquan Wei; Yihe Zhou; Yunpeng Qing; Quan Zhang; Yong Wang; Jie Song 011; Mingli Song (KDD (1), 2025)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yun-Fu Liu; Mingli Song (IEEE Trans. Intell. Transp. Syst., 2025)

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning. - Yunpeng Qing; Shuo Chen; Yixiao Chi; Shunyu Liu 001; Sixu Lin; Changqing Zou (CoRR, 2025)