VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function
Approximation

VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation

24 February 2023

Thanh Nguyen-Tang

Papers citing "VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation"

7 / 7 papers shown

Title
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 15 3 0 06 Jan 2024
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning Qiwei Di Heyang Zhao Jiafan He Quanquan Gu OffRL 37 5 0 02 Oct 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation Thanh Nguyen-Tang Ming Yin Sunil R. Gupta Svetha Venkatesh R. Arora OffRL 38 15 0 23 Nov 2022
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient Ming Yin Mengdi Wang Yu-Xiang Wang OffRL 46 11 0 03 Oct 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 95 261 0 04 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 91 20 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 1,944 0 04 May 2020