Chenlu Ye

According to our database, Chenlu Ye authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption.

Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang

CoRR, 2024

A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference.

Chenlu Ye, Wei Xiong, Yuheng Zhang, Nan Jiang, Tong Zhang

CoRR, 2024

2023

Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF.

Wei Xiong, Hanze Dong, Chenlu Ye, Han Zhong, Nan Jiang, Tong Zhang

CoRR, 2023

Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks.

Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye

CoRR, 2023

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.

Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang

CoRR, 2023

Corruption-Robust Offline Reinforcement Learning with General Function Approximation.

Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang

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

Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes.

Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2023