Offline Reinforcement Learning with Value-based Episodic Memory

19 October 2021

Papers citing "Offline Reinforcement Learning with Value-based Episodic Memory"

21 / 21 papers shown

Title
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation Jongmin Lee Wonseok Jeon Byung-Jun Lee J. Pineau Kee-Eung Kim OffRL 170 99 0 21 Jun 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 64 188 0 17 May 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism Paria Rashidinejad Banghua Zhu Cong Ma Jiantao Jiao Stuart J. Russell OffRL 225 289 0 22 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin Matthieu Geist OffRL 73 41 0 02 Mar 2021
Is Pessimism Provably Efficient for Offline RL? Ying Jin Zhuoran Yang Zhaoran Wang OffRL 174 359 0 30 Dec 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 64 155 0 12 Aug 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 107 612 0 16 Jun 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning Yunhao Tang SSL 94 24 0 12 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 140 1,824 0 08 Jun 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 96 673 0 12 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 223 1,377 0 15 Apr 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values Shangtong Zhang Bo Liu Shimon Whiteson OffRL 56 103 0 29 Jan 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning Xinyue Chen Zijian Zhou Ziyi Wang Che Wang Yanqiu Wu George Andriopoulos OffRL 79 124 0 27 Oct 2019
When to Trust Your Model: Model-Based Policy Optimization Michael Janner Justin Fu Marvin Zhang Sergey Levine OffRL 98 952 0 19 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 132 1,060 0 03 Jun 2019
Statistics and Samples in Distributional Reinforcement Learning Mark Rowland Robert Dadashi Saurabh Kumar Rémi Munos Marc G. Bellemare Will Dabney OffRL 56 89 0 21 Feb 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 128 331 0 31 Jan 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 234 1,613 0 07 Dec 2018
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 92 760 0 27 Oct 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 101 346 0 06 Mar 2017
Model-Free Episodic Control Charles Blundell Benigno Uria Alexander Pritzel Yazhe Li Avraham Ruderman Joel Z Leibo Jack W. Rae Daan Wierstra Demis Hassabis OffRL BDL 55 250 0 14 Jun 2016