Adversarially Trained Actor Critic for Offline Reinforcement Learning

Adversarially Trained Actor Critic for Offline Reinforcement Learning

5 February 2022

Papers citing "Adversarially Trained Actor Critic for Offline Reinforcement Learning"

17 / 17 papers shown

Title
Offline Constrained Reinforcement Learning under Partial Data Coverage Kihyuk Hong Ambuj Tewari OffRL 86 0 0 23 May 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 143 0 0 17 Jan 2025
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 184 10 0 19 Sep 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan Jingling Li Adith Swaminathan Aditya Modi Ching-An Cheng OffRL 92 0 0 14 Aug 2024
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning Siyuan Zhang Nan Jiang OffRL 38 39 0 26 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 272 874 0 12 Oct 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng Tanner Fiez Zane Alumbaugh Benjamin J. Chasnov Lillian J. Ratliff OffRL 61 39 0 25 Sep 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 76 116 0 19 Aug 2021
Convergent and Efficient Deep Q Network Algorithm Zhikang T. Wang Masahito Ueda 55 12 0 29 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 110 804 0 12 Jun 2021
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 115 1,780 0 08 Jun 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 77 662 0 12 May 2020
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran Igor Mordatch Vikash Kumar OffRL 46 127 0 16 Apr 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 188 1,338 0 15 Apr 2020
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 78 678 0 26 Nov 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 97 1,044 0 03 Jun 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 101 317 0 31 Jan 2019