Offline Reinforcement Learning Hands-On

29 November 2020

Papers citing "Offline Reinforcement Learning Hands-On"

7 / 7 papers shown

Title
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions Yicheng Luo Jackie Kay Edward Grefenstette M. Deisenroth OffRL OnRL 13 15 0 30 Mar 2023
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching Lantao Yu Tianhe Yu Jiaming Song W. Neiswanger Stefano Ermon OffRL 68 16 0 05 Mar 2023
A Dataset Perspective on Offline Reinforcement Learning Kajetan Schweighofer Andreas Radler Marius-Constantin Dinu M. Hofmarcher Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter OffRL 27 17 0 08 Nov 2021
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning A. Abdolmaleki Sandy H. Huang Giulia Vezzani Bobak Shahriari Jost Tobias Springenberg ... András Gyorgy Csaba Szepesvári R. Hadsell N. Heess Martin Riedmiller OffRL 15 5 0 15 Jun 2021
Offline Policy Comparison under Limited Historical Agent-Environment Interactions Anton Dereventsov Joseph Daws Clayton Webster OffRL 31 3 0 07 Jun 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 209 119 0 21 Jul 2020
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