Chenlu Ye

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Markov Decision Processes

Reinforcement Learning

Sample Selection

Function Approximators

Top Venues

Publications

Chenlu Ye, Wei Xiong, Yuheng Zhang, Nan Jiang, Tong Zhang
A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference. CoRR (2024)
Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. CoRR (2024)
Wei Xiong, Hanze Dong, Chenlu Ye, Han Zhong, Nan Jiang, Tong Zhang
Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF. CoRR (2023)
Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang
Corruption-Robust Offline Reinforcement Learning with General Function Approximation. CoRR (2023)
Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR (2023)
Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. CoRR (2023)
Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. ICML (2023)
Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang
Corruption-Robust Offline Reinforcement Learning with General Function Approximation. NeurIPS (2023)
Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. CoRR (2022)