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Chenlu Ye — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Chenlu Ye
14
papers ·
1
citations ·
8
h-index
University of Illinois Urbana-Champaign
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
2023 · 1 citations
Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective
2026
Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
2025
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
2025
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
2025
Self-rewarding correction for mathematical reasoning
2025
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
2022
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
2024
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
2024
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
2024
Top co-authors
Tong Zhang
· 9
Wei Xiong
· 6
Quanquan Gu
· 5
Nan Jiang
· 4
Hanze Dong
· 2
Yuheng Zhang
· 2
Baohao Liao
· 1
Changlong Yu
· 1
Christof Monz
· 1
Hanning Zhang
· 1
Hao Chen
· 1
Jiafan He
· 1
Topics
Model-Based RL
RLHF & Alignment
Offline RL
cs.LG
cs.AI
Exploration
Safe RL
cs.CL
stat.ML
Meta-RL