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2020 – today
- 2024
[c4]Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang:
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint. ICML 2024- [c3]Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang:
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. ICML 2024 - [i7]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 abs/2402.07314 (2024) - [i6]Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang:
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. CoRR abs/2402.08991 (2024) - 2023
- [c2]Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang:
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. ICML 2023: 39834-39863 - [c1]Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang:
Corruption-Robust Offline Reinforcement Learning with General Function Approximation. NeurIPS 2023 - [i5]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 abs/2309.02476 (2023) - [i4]Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang:
Corruption-Robust Offline Reinforcement Learning with General Function Approximation. CoRR abs/2310.14550 (2023) - [i3]Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye:
Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR abs/2311.13180 (2023) - [i2]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 abs/2312.11456 (2023) - 2022
- [i1]Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang:
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. CoRR abs/2212.05949 (2022)
Coauthor Index
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