Corruption-Robust Offline Reinforcement Learning with General Function
Approximation

Corruption-Robust Offline Reinforcement Learning with General Function Approximation

23 October 2023

Quanquan Gu

Tong Zhang

Papers citing "Corruption-Robust Offline Reinforcement Learning with General Function Approximation"

11 / 11 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 14 1 0 08 May 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 77 44 0 31 Dec 2024
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao Chenlu Ye Quanquan Gu Tong Zhang OffRL 57 3 0 07 Nov 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Rui Yang Ruomeng Ding Yong Lin Huan Zhang Tong Zhang 21 42 0 14 Jun 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 68 4 0 04 Apr 2024
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 46 78 0 13 Oct 2022
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen C. J. Li An Yuan Quanquan Gu Michael I. Jordan OffRL 108 26 0 30 Sep 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs Dongruo Zhou Quanquan Gu 73 43 0 23 May 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 61 46 0 13 May 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 95 261 0 04 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 91 144 0 13 Jul 2021