Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning. - Yihao Sun; Jiaji Zhang; Chengxing Jia; Haoxin Lin; Junyin Ye; Yang Yu 001 (ICML, 2023)

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Anqi Huang; Kai Xu 004; Zongzhang Zhang; Yang Yu 001 (CoRR, 2023)

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. - Haoxin Lin; Hongqiu Wu; Jiaji Zhang; Yihao Sun; Junyin Ye; Yang Yu 001 (AAAI, 2024)

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. - Zhilong Zhang; Yihao Sun; Junyin Ye; Tian-Shuo Liu; Jiaji Zhang; Yang Yu 001 (ICLR, 2024)

Limited Preference Aided Imitation Learning from Imperfect Demonstrations. - Xingchen Cao; Fan-Ming Luo; Junyin Ye; Tian Xu 003; Zhilong Zhang; Yang Yu 001 (ICML, 2024)

Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. - Xiong-Hui Chen; Junyin Ye; Hang Zhao; Yi-Chen Li 001; XuHui Liu; Haoran Shi; Yu-Yan Xu; Zhihao Ye; Si-Hang Yang; Yang Yu 001; Anqi Huang; Kai Xu 004; et al. (ICML, 2024)

WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making. - Zhilong Zhang; Ruifeng Chen 003; Junyin Ye; Yihao Sun; Pengyuan Wang; Jingcheng Pang; Kaiyuan Li; Tianshuo Liu; Haoxin Lin; Yang Yu 001; Zhi-Hua Zhou (CoRR, 2024)

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. - Haoxin Lin; Yu-Yan Xu; Yihao Sun; Zhilong Zhang; Yi-Chen Li 001; Chengxing Jia; Junyin Ye; Jiaji Zhang; Yang Yu 001 (ICLR, 2025)