Offline Reinforcement Learning with On-Policy Q-Function Regularization

25 July 2023

Papers citing "Offline Reinforcement Learning with On-Policy Q-Function Regularization"

8 / 8 papers shown

Title
The Best Instruction-Tuning Data are Those That Fit Dylan Zhang Qirun Dai Hao Peng ALM 117 4 0 06 Feb 2025
Enhancing Reinforcement Learning Through Guided Search Jérôme Arjonilla Abdallah Saffidine Tristan Cazenave OffRL 99 0 0 19 Aug 2024
ROER: Regularized Optimal Experience Replay Changling Li Zhang-Wei Hong Pulkit Agrawal Divyansh Garg Joni Pajarinen OffRL 49 1 0 04 Jul 2024
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor Jonas W. Mueller Kavosh Asadi Pratik Chaudhari Alex Smola OffRL 204 27 0 18 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 415 0 16 Feb 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