Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage

27 October 2023

Papers citing "Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage"

8 / 8 papers shown

Title
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 34 10 0 05 Sep 2023
Achieving the Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach Yue Wang Jinjun Xiong Shaofeng Zou OffRL 24 3 0 22 May 2023
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 75 23 0 21 Sep 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 81 67 0 15 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 173 873 0 21 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 68 96 0 29 Sep 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 91 144 0 13 Jul 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020