Towards Robust Offline Reinforcement Learning under Diverse Data
Corruption

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

19 October 2023

Tong Zhang

Papers citing "Towards Robust Offline Reinforcement Learning under Diverse Data Corruption"

18 / 18 papers shown

Title
Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning Hao Sun M. Schaar 76 14 0 28 Jan 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 72 44 0 31 Dec 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
Augmenting Offline RL with Unlabeled Data Zhao Wang Briti Gangopadhyay Jia-Fong Yeh Shingo Takamatsu OffRL 26 0 0 11 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 61 4 0 04 Apr 2024
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun Alihan Huyuk Daniel Jarrett M. Schaar OffRL 21 6 0 11 Oct 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar Q. Vuong A. Irpan Karol Hausman F. Xia ... Brianna Zitkovich Tomas Jackson Kanishka Rao Chelsea Finn Sergey Levine OffRL 110 81 0 18 Sep 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 44 76 0 13 Oct 2022
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL Taku Yamagata Ahmed Khalil Raúl Santos-Rodríguez OffRL 142 70 0 08 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 193 381 0 20 May 2022
Robust Losses for Learning Value Functions Andrew Patterson Victor Liao Martha White 10 7 0 17 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 203 627 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 92 261 0 04 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 89 144 0 13 Jul 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards Vincent Zhuang Yanan Sui 22 11 0 25 Feb 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 52 161 0 21 Jan 2021
Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt Nontawat Charoenphakdee Masashi Sugiyama NoLa 29 26 0 20 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020