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)

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)

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)

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)

InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following. - Peng-Yuan Wang; Jing-Cheng Pang; Chenyang Wang; Xu-Hui Liu; Tian-Shuo Liu; Si-Hang Yang; Hong Qian; Yang Yu (AAMAS, 2025)

A Survey on Large Language Models for Mathematical Reasoning. - Peng-Yuan Wang; Tian-Shuo Liu; Chenyang Wang; Yi-Di Wang; Shu Yan; Cheng-Xing Jia; Xu-Hui Liu; Xin-Wei Chen; Jia-Cheng Xu; Ziniu Li; Yang Yu (CoRR, 2025)