Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. - Xu-Hui Liu; Zhenghai Xue; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (NeurIPS, 2021)

Regret Minimization Experience Replay. - Zhenghai Xue; Xu-Hui Liu; Jing-Cheng Pang; Shengyi Jiang; Feng Xu 007; Yang Yu 001 (CoRR, 2021)

The Teaching Dimension of Regularized Kernel Learners. - Hong Qian; Xu-Hui Liu; Chen-Xi Su; Aimin Zhou; Yang Yu 001 (ICML, 2022)

Hybrid Value Estimation for Off-policy Evaluation and Offline Reinforcement Learning. - Xue-Kun Jin; Xu-Hui Liu; Shengyi Jiang; Yang Yu 001 (CoRR, 2022)

Cascaded Algorithm Selection With Extreme-Region UCB Bandit. - Yi-Qi Hu; Xu-Hui Liu; Shu-Qiao Li; Yang Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. - Chengxing Jia; Fuxiang Zhang; Yi-Chen Li 001; Chenxiao Gao; Xu-Hui Liu; Lei Yuan 005; Zongzhang Zhang; Yang Yu 001 (AAMAS, 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)

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. - Xu-Hui Liu; Yali Du 001; Jun Wang 012; Yang Yu 001 (ICLR, 2025)

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)