Towards Robust Model-Based Reinforcement Learning Against Adversarial
Corruption

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption

14 February 2024

Quanquan Gu

Tong Zhang

Papers citing "Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption"

8 / 8 papers shown

Title
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards Chenlu Ye Yujia Jin Alekh Agarwal Tong Zhang 93 0 0 04 Feb 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
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
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
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions Jiafan He Dongruo Zhou Tong Zhang Quanquan Gu 61 46 0 13 May 2022
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 68 96 0 29 Sep 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 143 407 0 25 Sep 2019