Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage

5 February 2023

Papers citing "Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage"

9 / 9 papers shown

Title
Towards Optimal Offline Reinforcement Learning Mengmeng Li Daniel Kuhn Tobias Sutter OffRL 55 0 0 15 Mar 2025
The Role of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation Noah Golowich Ankur Moitra OffRL 29 2 0 17 Jun 2024
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices Jiin Woo Laixi Shi Gauri Joshi Yuejie Chi OffRL 24 3 0 08 Feb 2024
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian Paria Rashidinejad Hanlin Zhu Kunhe Yang Stuart J. Russell Jiantao Jiao OffRL 33 26 0 01 Nov 2022
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions Audrey Huang Nan Jiang OffRL 45 9 0 27 Oct 2022
On Gap-dependent Bounds for Offline Reinforcement Learning Xinqi Wang Qiwen Cui S. Du OffRL 71 11 0 01 Jun 2022
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 96 144 0 13 Jul 2021
Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor Jonas W. Mueller Kavosh Asadi Pratik Chaudhari Alex Smola OffRL 204 27 0 18 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020