Title
Launchpad: A Programming Model for Distributed Machine Learning Research Fan Yang Gabriel Barth-Maron Piotr Stańczyk Matthew Hoffman Siqi Liu M. Kroiss Aedan Pope Alban Rrustemi 18 24 0 07 Jun 2021
Towards robust and domain agnostic reinforcement learning competitions William H. Guss Stephanie Milani Nicholay Topin Brandon Houghton Sharada Mohanty ... Lu Liu Daichi Nishio Toi Tsuneda Karolis Ramanauskas Gabija Juceviciute OOD 27 2 0 07 Jun 2021
Same State, Different Task: Continual Reinforcement Learning without Interference Samuel Kessler Jack Parker-Holder Philip J. Ball S. Zohren Stephen J. Roberts CLL OffRL 21 46 0 05 Jun 2021
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning Ming Zhou Bo Liu Hanjing Wang Muning Wen Runzhe Wu Ying Wen Yaodong Yang Weinan Zhang Jun Wang OffRL 27 46 0 05 Jun 2021
Heuristic-Guided Reinforcement Learning Ching-An Cheng Andrey Kolobov Adith Swaminathan OffRL 40 61 0 05 Jun 2021
Differentiable Architecture Search for Reinforcement Learning Yingjie Miao Xingyou Song John D. Co-Reyes Daiyi Peng Summer Yue E. Brevdo Aleksandra Faust 20 4 0 04 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task Sina Ghiassian R. Sutton AAML OffRL 19 5 0 02 Jun 2021
An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning Changnan Xiao Haosen Shi Jiajun Fan Shihong Deng 26 5 0 01 Jun 2021
Reward is enough for convex MDPs Tom Zahavy Brendan O'Donoghue Guillaume Desjardins Satinder Singh 72 73 0 01 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 24 3 0 01 Jun 2021
Goal Misgeneralization in Deep Reinforcement Learning L. Langosco Jack Koch Lee D. Sharkey J. Pfau Laurent Orseau David M. Krueger 30 78 0 28 May 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents Andrew Kyle Lampinen Stephanie C. Y. Chan Andrea Banino Felix Hill 24 47 0 28 May 2021
AndroidEnv: A Reinforcement Learning Platform for Android Daniel Toyama P. Hamel Anita Gergely Gheorghe Comanici Amelia Glaese Zafarali Ahmed Tyler Jackson Shibl Mourad Doina Precup VLM SSeg 19 70 0 27 May 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation Zaiwei Chen S. Khodadadian S. T. Maguluri OffRL 68 29 0 26 May 2021
Gym- $μ$ RTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning Sheng-Jun Huang Santiago Ontañón Chris Bamford Lukasz Grela OffRL 16 36 0 21 May 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action Usefulness Mathieu Seurin Florian Strub Philippe Preux Olivier Pietquin 32 9 0 20 May 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 21 184 0 17 May 2021
Return-based Scaling: Yet Another Normalisation Trick for Deep RL Tom Schaul Georg Ostrovski Iurii Kemaev Diana Borsa 15 19 0 11 May 2021
CASA: Bridging the Gap between Policy Improvement and Policy Evaluation with Conflict Averse Policy Iteration Changnan Xiao Haosen Shi Jiajun Fan Shihong Deng Haiyan Yin 19 0 0 09 May 2021
Agent-Centric Representations for Multi-Agent Reinforcement Learning Wenling Shang L. Espeholt Anton Raichuk Tim Salimans EgoV 32 10 0 19 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 272 0 16 Apr 2021
Generalising Discrete Action Spaces with Conditional Action Trees Christopher Bamford Alvaro Ovalle 13 8 0 15 Apr 2021
A Novel Approach to Curiosity and Explainable Reinforcement Learning via Interpretable Sub-Goals C. V. Rossum Candice Feinberg Adam Abu Shumays Kyle Baxter Benedek Bartha GAN LLMAG LRM 26 1 0 14 Apr 2021
Online and Offline Reinforcement Learning by Planning with a Learned Model Julian Schrittwieser Thomas Hubert Amol Mandhane M. Barekatain Ioannis Antonoglou David Silver OffRL 31 114 0 13 Apr 2021
Podracer architectures for scalable Reinforcement Learning Matteo Hessel M. Kroiss Aidan Clark Iurii Kemaev John Quan Thomas Keck Fabio Viola H. V. Hasselt 24 38 0 13 Apr 2021
Muesli: Combining Improvements in Policy Optimization Matteo Hessel Ivo Danihelka Fabio Viola A. Guez Simon Schmitt Laurent Sifre T. Weber David Silver H. V. Hasselt 24 66 0 13 Apr 2021
Auxiliary Tasks and Exploration Enable ObjectNav Joel Ye Dhruv Batra Abhishek Das Erik Wijmans 36 91 0 08 Apr 2021
Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation Jinyoung Choi C. Dance Jung-Eun Kim Seulbin Hwang Kyungsik Park UQCV 23 26 0 07 Apr 2021
Domain Generalization with MixStyle Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang 76 746 0 05 Apr 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation Emilio Parisotto Ruslan Salakhutdinov 42 44 0 04 Apr 2021
Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow Y. Nasir Jincong He Chaoshun Hu Shusei Tanaka Kainan Wang X. Wen AI4CE 14 18 0 31 Mar 2021
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark Sharada Mohanty Jyotish Poonganam Adrien Gaidon Andrey Kolobov Blake Wulfe ... Jacob Hilton William H. Guss Sahika Genc John Schulman K. Cobbe 34 22 0 29 Mar 2021
SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images Tamir Blum Gabin Paillet Watcharawut Masawat Mickaël Laîné Kazuya Yoshida 13 1 0 26 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021
Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett Erik Wijmans Aleksei Petrenko Manolis Savva Dhruv Batra V. Koltun Kayvon Fatahalian 3DV OffRL AI4CE 31 26 0 12 Mar 2021
Model-free Policy Learning with Reward Gradients Qingfeng Lan Samuele Tosatto Homayoon Farrahi Rupam Mahmood 19 6 0 09 Mar 2021
A multi-agent reinforcement learning model of reputation and cooperation in human groups Kevin R. McKee Edward Hughes Tina Zhu Martin Chadwick Raphael Köster Antonio García Castañeda Charlie Beattie T. Graepel M. Botvinick Joel Z. Leibo 8 6 0 08 Mar 2021
Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation Abhimanyu Dubey Alex Pentland 30 23 0 08 Mar 2021
Causal Analysis of Agent Behavior for AI Safety Grégoire Delétang Jordi Grau-Moya Miljan Martic Tim Genewein Tom McGrath Vladimir Mikulik M. Kunesch Shane Legg Pedro A. Ortega CML 32 6 0 05 Mar 2021
Reinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors Chen-Huan Pi Kai-Chun Hu Yu-ting Huang Stone Cheng 16 2 0 04 Mar 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings Lili Chen Kimin Lee A. Srinivas Pieter Abbeel OffRL 24 11 0 04 Mar 2021
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks Xiaoyang Wang Jonathan D. Thomas Robert Piechocki S. Kapoor Raúl Santos-Rodríguez Arjun Parekh 24 24 0 03 Mar 2021
Inference-Based Deterministic Messaging For Multi-Agent Communication Varun Bhatt M. Buro 28 4 0 03 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 45 1,207 0 02 Mar 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision Johan Bjorck Xiangyu Chen Christopher De Sa Carla P. Gomes Kilian Q. Weinberger 23 6 0 26 Feb 2021
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning Angelos Filos Clare Lyle Y. Gal Sergey Levine Natasha Jaques Gregory Farquhar 26 22 0 24 Feb 2021
Synthetic Returns for Long-Term Credit Assignment David Raposo Samuel Ritter Adam Santoro Greg Wayne T. Weber M. Botvinick H. V. Hasselt Francis Song AI4TS 29 34 0 24 Feb 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning Victor Campos Pablo Sprechmann Steven Hansen André Barreto Steven Kapturowski Alex Vitvitskyi Adria Puigdomenech Badia Charles Blundell OffRL OnRL 46 25 0 24 Feb 2021
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation Jianzhun Shao Yuhang Jiang Gu Wang Zhigang Li Xiangyang Ji 33 29 0 24 Feb 2021