Research

Papers and Preprints

1. Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF
   Wei Xiong*, Hanze Dong*, Chenlu Ye*, Han Zhong, Nan Jiang, Tong Zhang, Preprint.
   

2. Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks
   Jianqing Fan*, Zhaoran Wang*, Zhuoran Yang*, Chenlu Ye*, Preprint.
   

3. Corruption-Robust Offline Reinforcement Learning with General Function Approximation
   Chenlu Ye*, Rui Yang*, Quanquan Gu and Tong Zhang, NeurIPS 2023.

4. Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
   Yong Lin*, Chen Liu*, Chenlu Ye*, Qing Lian, Yuan Yao and Tong Zhang, Preprint.

5. Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
   Chenlu Ye, Wei Xiong, Quanquan Gu and Tong Zhang, ICML 2023.

(* equal contribution or alphabetical order)