Tian Xu

According to our database, Tian Xu authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Model gradient: unified model and policy learning in model-based reinforcement learning.

Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu

Frontiers Comput. Sci., August, 2024

Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity.

Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo

CoRR, 2024

A survey on model-based reinforcement learning.

Fan-Ming Luo, Tian Xu, Hang Lai, Xiong-Hui Chen, Weinan Zhang, Yang Yu

Sci. China Inf. Sci., 2024

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Limited Preference Aided Imitation Learning from Imperfect Demonstrations.

Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning.

Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

When is RL better than DPO in RLHF? A Representation and Optimization Perspective.

Ziniu Li, Tian Xu, Yang Yu

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning.

Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Policy Optimization in RLHF: The Impact of Out-of-preference Data.

Ziniu Li, Tian Xu, Yang Yu

CoRR, 2023

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models.

Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo

CoRR, 2023

Theoretical Analysis of Offline Imitation With Supplementary Dataset.

Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo

CoRR, 2023

Provably Efficient Adversarial Imitation Learning with Unknown Transitions.

Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Imitation Learning from Imperfection: Theoretical Justifications and Algorithms.

Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Error Bounds of Imitating Policies and Environments for Reinforcement Learning.

Tian Xu, Ziniu Li, Yang Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis.

Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo

CoRR, 2022

A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle.

Ziniu Li, Tian Xu, Yang Yu

CoRR, 2022

Rethinking ValueDice: Does It Really Improve Performance?

Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo

CoRR, 2022

2021

Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions.

Tian Xu, Ziniu Li, Yang Yu

CoRR, 2021

Sparsity Prior Regularized Q-learning for Sparse Action Tasks.

Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu

CoRR, 2021

2020

Error Bounds of Imitating Policies and Environments.

Tian Xu, Ziniu Li, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On Value Discrepancy of Imitation Learning.

Tian Xu, Ziniu Li, Yang Yu

CoRR, 2019