D4RL: Datasets for Deep Data-Driven Reinforcement Learning

15 April 2020

Papers citing "D4RL: Datasets for Deep Data-Driven Reinforcement Learning"

27 / 927 papers shown

Title
Offline Reinforcement Learning Hands-On L. Monier Jakub Kmec Alexandre Laterre Thomas Pierrot Valentin Courgeau Olivier Sigaud Karim Beguir OffRL 6 9 0 29 Nov 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
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 31 67 0 17 Nov 2020
PLAS: Latent Action Space for Offline Reinforcement Learning Wenxuan Zhou Sujay Bajracharya David Held OffRL 13 156 0 14 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 33 33 0 10 Nov 2020
Rearrangement: A Challenge for Embodied AI Dhruv Batra Angel X. Chang Sonia Chernova Andrew J. Davison Jia Deng ... Jitendra Malik Igor Mordatch Roozbeh Mottaghi Manolis Savva Hao Su LM&Ro 35 216 0 03 Nov 2020
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient Samuele Tosatto João Carvalho Jan Peters OffRL 15 7 0 27 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 20 153 0 26 Oct 2020
Accelerating Reinforcement Learning with Learned Skill Priors Karl Pertsch Youngwoon Lee Joseph J. Lim OffRL OnRL 22 235 0 22 Oct 2020
Offline Learning for Planning: A Summary Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 6 4 0 05 Oct 2020
Learning Off-Policy with Online Planning Harshit S. Sikchi Wenxuan Zhou David Held OffRL 29 45 0 23 Aug 2020
Interactive Visualization for Debugging RL Shuby Deshpande Benjamin Eysenbach J. Schneider 12 7 0 14 Aug 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 13 148 0 12 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 13 83 0 12 Aug 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 31 435 0 03 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
Hyperparameter Selection for Offline Reinforcement Learning T. Paine Cosmin Paduraru Andrea Michi Çağlar Gülçehre Konrad Zolna Alexander Novikov Ziyun Wang Nando de Freitas GP OffRL 36 145 0 17 Jul 2020
Provably Good Batch Reinforcement Learning Without Great Exploration Yao Liu Adith Swaminathan Alekh Agarwal Emma Brunskill OffRL 11 105 0 16 Jul 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Çağlar Gülçehre Ziyun Wang Alexander Novikov T. Paine Sergio Gomez Colmenarejo ... Matthew W. Hoffman Ofir Nachum George Tucker N. Heess Nando de Freitas OffRL 27 71 0 24 Jun 2020
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation W. AaronSonabend Junwei Lu Leo Anthony Celi Tianxi Cai Peter Szolovits OffRL 12 23 0 23 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 8 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 9 146 0 05 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 51 225 0 01 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 8 750 0 27 May 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
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning Xinyue Chen Zijian Zhou Zhilin Wang Che Wang Yanqiu Wu Keith Ross OffRL 17 120 0 27 Oct 2019