Tian Xu - RankMe

31 papers A* 8A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints. CoRR Tian Xu, Chenyang Wang, Xiaochen Zhai, Ziniu Li, Yi-Chen Li, Yang Yu
2026	J	`jnl`	Off-Policy Value-Based Reinforcement Learning for Large Language Models. CoRR Peng-Yuan Wang, Ziniu Li, Tian Xu, Bohan Yang, Tian-Shuo Liu, Chenyang Wang, Xiong-Hui Chen, Yi-Chen Li, Tianyun Yang, Congliang Chen, Yang Yu
2025	J	`jnl`	Generalist Reward Models: Found Inside Large Language Models. CoRR Yi-Chen Li, Tian Xu, Yang Yu, Xuqin Zhang, Xiong-Hui Chen, Zhongxiang Ling, Ningjing Chao, Lei Yuan, Zhi-Hua Zhou
2025	A*	`conf`	Improving Reward Model Generalization from Adversarial Process Enhanced Preferences. ICML Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun, Yang Yu
2025	A*	`conf`	Preserving Diversity in Supervised Fine-Tuning of Large Language Models. ICLR Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun
2025	J	`jnl`	Reinforcement Learning With Sparse-Executing Action via Sparsity Regularization. IEEE Trans. Neural Networks Learn. Syst. Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
2024	J	`jnl`	A survey on model-based reinforcement learning. Sci. China Inf. Sci. Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
2024	J	`jnl`	Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. CoRR Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
2024	A*	`conf`	Limited Preference Aided Imitation Learning from Imperfect Demonstrations. ICML Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu
2024	J	`jnl`	Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
2024	A*	`conf`	ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. ICML Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2024	A*	`conf`	Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. ICLR Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
2024	—	`conf`	When is RL better than DPO in RLHF? A Representation and Optimization Perspective. Tiny Papers @ ICLR Ziniu Li, Tian Xu, Yang Yu
2023	A*	`conf`	Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. NeurIPS Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo
2023	J	`jnl`	Policy Optimization in RLHF: The Impact of Out-of-preference Data. CoRR Ziniu Li, Tian Xu, Yang Yu
2023	A	`conf`	Provably Efficient Adversarial Imitation Learning with Unknown Transitions. UAI Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2023	J	`jnl`	Provably Efficient Adversarial Imitation Learning with Unknown Transitions. CoRR Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2023	J	`jnl`	ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. CoRR Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning. CoRR Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
2023	J	`jnl`	Theoretical Analysis of Offline Imitation With Supplementary Dataset. CoRR Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
2022	J	`jnl`	A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle. CoRR Ziniu Li, Tian Xu, Yang Yu
2022	J	`jnl`	A Survey on Model-based Reinforcement Learning. CoRR Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu
2022	J	`jnl`	Error Bounds of Imitating Policies and Environments for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tian Xu, Ziniu Li, Yang Yu
2022	J	`jnl`	Rethinking ValueDice: Does It Really Improve Performance? CoRR Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
2022	J	`jnl`	Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. CoRR Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2021	J	`jnl`	Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions. CoRR Tian Xu, Ziniu Li, Yang Yu
2021	J	`jnl`	Sparsity Prior Regularized Q-learning for Sparse Action Tasks. CoRR Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
2020	A*	`conf`	Error Bounds of Imitating Policies and Environments. NeurIPS Tian Xu, Ziniu Li, Yang Yu
2020	J	`jnl`	Error Bounds of Imitating Policies and Environments. CoRR Tian Xu, Ziniu Li, Yang Yu
2019	J	`jnl`	On Value Discrepancy of Imitation Learning. CoRR Tian Xu, Ziniu Li, Yang Yu