How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. - Xu-Hui Liu; Feng Xu 007; Xinyu Zhang; Tianyuan Liu; Shengyi Jiang; Ruifeng Chen 003; Zongzhang Zhang; Yang Yu 001 (AAMAS, 2023)

Foresight Distribution Adjustment for Off-policy Reinforcement Learning. - Ruifeng Chen 003; Xu-Hui Liu; Tian-Shuo Liu; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (AAMAS, 2024)

Policy-conditioned Environment Models are More Generalizable. - Ruifeng Chen 003; Xiong-Hui Chen; Yihao Sun; Siyuan Xiao; Minhui Li; Yang Yu 001 (ICML, 2024)

Offline Transition Modeling via Contrastive Energy Learning. - Ruifeng Chen 003; Chengxing Jia; Zefang Huang; Tian-Shuo Liu; Xu-Hui Liu; Yang Yu 001 (ICML, 2024)

Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning. - Xu-Hui Liu; Tian-Shuo Liu; Shengyi Jiang; Ruifeng Chen 003; Zhilong Zhang; Xinwei Chen; Yang Yu 001 (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)

Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning. - Tian-Shuo Liu; Xu-Hui Liu; Ruifeng Chen 003; Lixuan Jin; Pengyuan Wang; Zhilong Zhang; Yang Yu 001 (ICLR, 2025)