Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning

19 February 2020

Noah Y. Siegel

Jost Tobias Springenberg

Martin Riedmiller

Papers citing "Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning"

20 / 70 papers shown

Title
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL Catherine Cang Aravind Rajeswaran Pieter Abbeel Michael Laskin OffRL 19 29 0 16 Jun 2021
Offline RL Without Off-Policy Evaluation David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 42 161 0 16 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 20 778 0 12 Jun 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 35 100 0 30 Mar 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 17 132 0 19 Mar 2021
Regularized Behavior Value Estimation Çağlar Gülçehre Sergio Gomez Colmenarejo Ziyun Wang Jakub Sygnowski T. Paine Konrad Zolna Yutian Chen Matthew W. Hoffman Razvan Pascanu Nando de Freitas OffRL 23 37 0 17 Mar 2021
Instabilities of Offline RL with Pre-Trained Neural Representation Ruosong Wang Yifan Wu Ruslan Salakhutdinov Sham Kakade OffRL 17 42 0 08 Mar 2021
Offline Reinforcement Learning with Pseudometric Learning Robert Dadashi Shideh Rezaeifar Nino Vieillard Léonard Hussenot Olivier Pietquin M. Geist OffRL 31 40 0 02 Mar 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 413 0 16 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 78 0 01 Feb 2021
Is Pessimism Provably Efficient for Offline RL? Ying Jin Zhuoran Yang Zhaoran Wang OffRL 27 346 0 30 Dec 2020
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 68 23 0 12 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 32 66 0 27 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 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 10 36 0 16 Oct 2020
Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience Robert Lee Daniel Ward Akansel Cosgun Vibhavari Dasagi Peter Corke Jurgen Leitner SSL 22 66 0 07 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 25 10 0 02 Oct 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 29 45 0 23 Aug 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
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 12 585 0 16 Jun 2020