Title
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner Philemon Brakel Steven Bohez Leonard Hasenclever N. Heess Konstantinos Bousmalis 13 16 0 30 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z Leibo 39 7 0 21 Oct 2021
Collaborating with Humans without Human Data D. Strouse Kevin R. McKee M. Botvinick Edward Hughes Richard Everett 124 161 0 15 Oct 2021
Faster Improvement Rate Population Based Training Valentin Dalibard Max Jaderberg 17 10 0 28 Sep 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 26 181 0 27 Jul 2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo Edgar A. Duénez-Guzmán A. Vezhnevets J. Agapiou P. Sunehag Raphael Köster Jayd Matyas Charlie Beattie Igor Mordatch T. Graepel OffRL 58 103 0 14 Jul 2021
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 30 36 0 12 Jul 2021
Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation Honghu Xue Rebecca Herzog Till M. Berger T. Bäumer A. Weissbach Elmar Rueckert 12 5 0 05 Jul 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion Yiming Zhang Keith Ross OffRL 25 39 0 14 Jun 2021
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning Changnan Xiao Haosen Shi Jiajun Fan Shihong Deng 18 5 0 01 Jun 2021
Learning and Planning in Complex Action Spaces Thomas Hubert Julian Schrittwieser Ioannis Antonoglou M. Barekatain Simon Schmitt David Silver 19 76 0 13 Apr 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto Ruslan Salakhutdinov 42 44 0 04 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 15 14 0 31 Mar 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration N. Lazić Dong Yin Yasin Abbasi-Yadkori Csaba Szepesvári OffRL 6 17 0 25 Feb 2021
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning Kevin R. McKee Joel Z Leibo Charlie Beattie Richard Everett 44 31 0 16 Feb 2021
Optimization Issues in KL-Constrained Approximate Policy Iteration N. Lazić Botao Hao Yasin Abbasi-Yadkori Dale Schuurmans Csaba Szepesvári 19 10 0 11 Feb 2021
Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States Shi Dong Benjamin Van Roy Zhengyuan Zhou 16 29 0 10 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 23 30 0 04 Feb 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto P. Becker Ngo Anh Vien Hanna Ziesche Gerhard Neumann OffRL 30 19 0 22 Jan 2021
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning Gideon Stein Andrey Filchenkov Arip Asadulaev OffRL 21 2 0 23 Oct 2020
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 9 40 0 21 Oct 2020
Local Search for Policy Iteration in Continuous Control Jost Tobias Springenberg N. Heess D. Mankowitz J. Merel Arunkumar Byravan ... Julian Schrittwieser Yuval Tassa J. Buchli Dan Belov Martin Riedmiller OffRL 14 15 0 12 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 13 85 0 05 Oct 2020
Revisiting Design Choices in Proximal Policy Optimization Chloe Ching-Yun Hsu Celestine Mendler-Dünner Moritz Hardt 9 53 0 23 Sep 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 23 12 0 11 Sep 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 7 152 0 09 Sep 2020
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 19 73 0 24 Jul 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 24 86 0 24 Jun 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
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning Yunhao Tang A. Kucukelbir OffRL 14 16 0 13 Jun 2020
Zeroth-Order Supervised Policy Improvement Hao Sun Ziping Xu Yuhang Song Meng Fang Jiechao Xiong Bo Dai Bolei Zhou OffRL 6 9 0 11 Jun 2020
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin ... M. Geist Olivier Pietquin Marcin Michalski Sylvain Gelly Olivier Bachem OffRL 31 213 0 10 Jun 2020
A Distributional View on Multi-Objective Policy Optimization A. Abdolmaleki Sandy H. Huang Leonard Hasenclever Michael Neunert H. F. Song Martina Zambelli M. Martins N. Heess R. Hadsell Martin Riedmiller 21 74 0 15 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 139 0 30 Apr 2020
Taylor Expansion Policy Optimization Yunhao Tang Michal Valko Rémi Munos OffRL 12 14 0 13 Mar 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 11 117 0 07 Jan 2020
Catch & Carry: Reusable Neural Controllers for Vision-Guided Whole-Body Tasks J. Merel S. Tunyasuvunakool Arun Ahuja Yuval Tassa Leonard Hasenclever Vu Pham Tom Erez Greg Wayne N. Heess 23 9 0 15 Nov 2019
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto H. F. Song Jack W. Rae Razvan Pascanu Çağlar Gülçehre ... Aidan Clark Seb Noury M. Botvinick N. Heess R. Hadsell OffRL 22 360 0 13 Oct 2019