The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning

19 February 2024

Papers citing "The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning"

10 / 10 papers shown

Title
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 34 0 0 07 Nov 2024
Policy-Guided Diffusion Matthew Jackson Michael T. Matthews Cong Lu Benjamin Ellis Shimon Whiteson Jakob N. Foerster OffRL 47 17 0 09 Apr 2024
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 51 78 0 13 Oct 2022
Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials Aviral Kumar Anika Singh F. Ebert Mitsuhiko Nakamoto Yanlai Yang Chelsea Finn Sergey Levine OffRL OnRL 123 66 0 11 Oct 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 839 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 102 262 0 04 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 143 85 0 22 Sep 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 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
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016