AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

16 June 2020

Abhishek Gupta

Papers citing "AWAC: Accelerating Online Reinforcement Learning with Offline Datasets"

23 / 423 papers shown

Title
Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning Leandro M. de Lima R. Krohling OffRL 32 4 0 20 Apr 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning Hiroki Furuta Tadashi Kozuno T. Matsushima Y. Matsuo S. Gu 18 14 0 31 Mar 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute Wenzhao Lian Chang Su Mel Vecerík Ning Ye S. Schaal Jonathan Scholz OffRL 27 60 0 21 Mar 2021
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning DiJia Su J. Lee John M. Mulvey H. Vincent Poor OffRL 13 6 0 23 Feb 2021
Q-Value Weighted Regression: Reinforcement Learning with Limited Data Piotr Kozakowski Lukasz Kaiser Henryk Michalewski Afroz Mohiuddin Katarzyna Kañska OffRL 25 5 0 12 Feb 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 168 58 0 30 Dec 2020
Is Pessimism Provably Efficient for Offline RL? Ying Jin Zhuoran Yang Zhaoran Wang OffRL 27 346 0 30 Dec 2020
Offline Reinforcement Learning Hands-On L. Monier Jakub Kmec Alexandre Laterre Thomas Pierrot Valentin Courgeau Olivier Sigaud Karim Beguir OffRL 11 9 0 29 Nov 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 30 138 0 19 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 16 105 0 12 Nov 2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models Yuchen Wu Melissa Mozifian Florian Shkurti 23 21 0 02 Nov 2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning Avi Singh Albert Yu Jonathan Yang Jesse Zhang Aviral Kumar Sergey Levine SSL OffRL OnRL 35 103 0 27 Oct 2020
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 22 236 0 22 Oct 2020
Learning Dexterous Manipulation from Suboptimal Experts Rae Jeong Jost Tobias Springenberg Jackie Kay Daniel Zheng Yuxiang Zhou Alexandre Galashov N. Heess F. Nori OffRL 15 36 0 16 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 34 45 0 23 Aug 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 33 103 0 13 Aug 2020
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
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 36 317 0 26 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 13 1,739 0 08 Jun 2020
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization T. Matsushima Hiroki Furuta Y. Matsuo Ofir Nachum S. Gu OffRL 14 146 0 05 Jun 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
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012