On Instance-Dependent Bounds for Offline Reinforcement Learning with
Linear Function Approximation

On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation

23 November 2022

Thanh Nguyen-Tang

Ming Yin

Svetha Venkatesh

Papers citing "On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation"

9 / 9 papers shown

Title
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 43 1 0 10 Jan 2025
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Zhong Zheng Haochen Zhang Lingzhou Xue OffRL 75 2 0 10 Oct 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 33 3 0 06 Jan 2024
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 40 7 0 10 Jul 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 46 5 0 24 Feb 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage Masatoshi Uehara Nathan Kallus Jason D. Lee Wen Sun OffRL 45 5 0 05 Feb 2023
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
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020