On Value Discrepancy of Imitation Learning. - Tian Xu 003; Ziniu Li; Yang Yu 001 (CoRR, 2019)

Error Bounds of Imitating Policies and Environments. - Tian Xu 003; Ziniu Li; Yang Yu 001 (NeurIPS, 2020)

Sparsity Prior Regularized Q-learning for Sparse Action Tasks. - Jing-Cheng Pang; Tian Xu 003; Shengyi Jiang; Yu-Ren Liu; Yang Yu 001 (CoRR, 2021)

Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions. - Tian Xu 003; Ziniu Li; Yang Yu 001 (CoRR, 2021)

Rethinking ValueDice: Does It Really Improve Performance? - Ziniu Li; Tian Xu 003; Yang Yu 001; Zhi-Quan Luo (CoRR, 2022)

A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle. - Ziniu Li; Tian Xu 003; Yang Yu 001 (CoRR, 2022)

Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. - Tian Xu 003; Ziniu Li; Yang Yu 001; Zhi-Quan Luo (CoRR, 2022)

Error Bounds of Imitating Policies and Environments for Reinforcement Learning. - Tian Xu 003; Ziniu Li; Yang Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. - Ziniu Li; Tian Xu 003; Zeyu Qin; Yang Yu 001; Zhi-Quan Luo (NeurIPS, 2023)

Provably Efficient Adversarial Imitation Learning with Unknown Transitions. - Tian Xu 003; Ziniu Li; Yang Yu 001; Zhi-Quan Luo (UAI, 2023)

Theoretical Analysis of Offline Imitation With Supplementary Dataset. - Ziniu Li; Tian Xu 003; Yang Yu 001; Zhi-Quan Luo (CoRR, 2023)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. - Ziniu Li; Tian Xu 003; Yushun Zhang; Yang Yu 001; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2023)

Policy Optimization in RLHF: The Impact of Out-of-preference Data. - Ziniu Li; Tian Xu 003; Yang Yu 001 (CoRR, 2023)

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. - Chengxing Jia; Chenxiao Gao; Hao Yin; Fuxiang Zhang; Xiong-Hui Chen; Tian Xu 003; Lei Yuan 005; Zongzhang Zhang; Zhi-Hua Zhou; Yang Yu 001 (ICLR, 2024)

When is RL better than DPO in RLHF? A Representation and Optimization Perspective. - Ziniu Li; Tian Xu 003; Yang Yu 001 (Tiny Papers @ ICLR, 2024)

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. - Fan-Ming Luo; Tian Xu 003; Xingchen Cao; 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)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. - Ziniu Li; Tian Xu 003; Yushun Zhang; Zhihang Lin; Yang Yu 001; Ruoyu Sun 001; Zhi-Quan Luo (ICML, 2024)

A survey on model-based reinforcement learning. - Fan-Ming Luo; Tian Xu 003; Hang Lai; Xiong-Hui Chen; Weinan Zhang 001; Yang Yu 001 (Sci. China Inf. Sci., 2024)

Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. - Ziniu Li; Congliang Chen; Tian Xu 003; Zeyu Qin; Jiancong Xiao; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2024)

Model gradient: unified model and policy learning in model-based reinforcement learning. - Chengxing Jia; Fuxiang Zhang; Tian Xu 003; Jing-Cheng Pang; Zongzhang Zhang; Yang Yu 001 (Frontiers Comput. Sci., 2024)

Preserving Diversity in Supervised Fine-Tuning of Large Language Models. - Ziniu Li; Congliang Chen; Tian Xu 003; Zeyu Qin; Jiancong Xiao; Zhi-Quan Luo; Ruoyu Sun 001 (ICLR, 2025)

Generalist Reward Models: Found Inside Large Language Models. - Yi-Chen Li 001; Tian Xu 003; Yang Yu 001; Xuqin Zhang; Xiong-Hui Chen; Zhongxiang Ling; Ningjing Chao; Lei Yuan 005; Zhi-Hua Zhou (CoRR, 2025)