ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives

8 December 2021

Papers citing "ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives"

3 / 3 papers shown

Title
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura Tadashi Kozuno Yunhao Tang Nino Vieillard Michal Valko ... Olivier Pietquin M. Geist Csaba Szepesvári Wataru Kumagai Yutaka Matsuo OffRL 30 2 0 22 May 2023
Continual Reinforcement Learning with TELLA Neil Fendley Cash Costello Eric Q. Nguyen Gino Perrotta Corey Lowman CLL 19 2 0 08 Aug 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,963 0 04 May 2020