Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias

12 October 2023

Papers citing "Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias"

8 / 8 papers shown

Title
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning S. E. Ada Erhan Öztop Emre Ugur OffRL 27 14 0 10 Jul 2023
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning Mitsuhiko Nakamoto Yuexiang Zhai Anika Singh Max Sobol Mark Yi-An Ma Chelsea Finn Aviral Kumar Sergey Levine OffRL OnRL 109 108 0 09 Mar 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 212 832 0 12 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 138 84 0 22 Sep 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 207 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020