Title
Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang Long Lian Stella X. Yu OOD 34 37 0 07 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 38 2 0 07 Apr 2021
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control Xue Bin Peng Ze Ma Pieter Abbeel Sergey Levine Angjoo Kanazawa 22 34 0 05 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 20 14 0 31 Mar 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning Hiroki Furuta T. Matsushima Tadashi Kozuno Y. Matsuo Sergey Levine Ofir Nachum S. Gu OffRL 19 13 0 23 Mar 2021
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing James Herman Jonathan M Francis Siddha Ganju Bingqing Chen Anirudh Koul Abhinav Gupta Alexey Skabelkin Ivan Zhukov Max Kumskoy Eric Nyberg 36 35 0 22 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
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning Marian Korber Johann Lange S. Rediske Simon Steinmann Roland Glück 19 50 0 08 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
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck Jiameng Fan Wenchao Li OffRL 14 39 0 26 Feb 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 32 26 0 25 Feb 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration N. Lazić Dong Yin Yasin Abbasi-Yadkori Csaba Szepesvári OffRL 14 17 0 25 Feb 2021
Reinforcement Learning with Prototypical Representations Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto SSL 31 218 0 22 Feb 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning Guoqing Liu Chuheng Zhang Li Zhao Tao Qin Jinhua Zhu Jian Li Nenghai Yu Tie-Yan Liu SSL OffRL 19 47 0 22 Feb 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 22 95 0 20 Feb 2021
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking Paula Gradu John Hallman Daniel Suo Alex Yu Naman Agarwal Udaya Ghai Karan Singh Cyril Zhang Anirudha Majumdar Elad Hazan 14 15 0 19 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 222 419 0 16 Feb 2021
Domain Adversarial Reinforcement Learning Bonnie Li Vincent Franccois-Lavet T. Doan Joelle Pineau OOD 28 22 0 14 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
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 34 182 0 11 Feb 2021
Sufficiently Accurate Model Learning for Planning Clark Zhang Santiago Paternain Alejandro Ribeiro 14 0 0 11 Feb 2021
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks Pierre Aumjaud David McAuliffe Francisco J. Rodríguez-Lera P. Cardiff 19 10 0 09 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 25 12 0 09 Feb 2021
Continuous-Time Model-Based Reinforcement Learning Çağatay Yıldız Markus Heinonen Harri Lähdesmäki OffRL 21 54 0 09 Feb 2021
MALI: A memory efficient and reverse accurate integrator for Neural ODEs Juntang Zhuang Nicha Dvornek S. Tatikonda James S. Duncan 30 49 0 09 Feb 2021
Unlocking Pixels for Reinforcement Learning via Implicit Attention K. Choromanski Deepali Jain Wenhao Yu Xingyou Song Jack Parker-Holder ... Aldo Pacchiano Anirban Santara Yunhao Tang Jie Tan Adrian Weller OffRL 33 3 0 08 Feb 2021
Discovering a set of policies for the worst case reward Tom Zahavy André Barreto D. Mankowitz Shaobo Hou Brendan O'Donoghue Iurii Kemaev Satinder Singh OffRL 27 23 0 08 Feb 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning Theodore H. Moskovitz Jack Parker-Holder Aldo Pacchiano Michael Arbel Michael I. Jordan 27 55 0 07 Feb 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 21 36 0 05 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 140 80 0 01 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Kyunghyun Cho Martin Riedmiller OffRL 29 13 0 23 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 137 101 0 07 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 31 23 0 06 Jan 2021
Combining Deep Reinforcement Learning And Local Control For The Acrobot Swing-up And Balance Task Sean Gillen Marco Molnar Katie Byl 12 9 0 21 Dec 2020
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency Qiang Zhang Tete Xiao Alexei A. Efros Lerrel Pinto Xiaolong Wang 20 64 0 17 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation Albert Zhan Philip Zhao Lerrel Pinto Pieter Abbeel Michael Laskin SSL DRL 27 20 0 14 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 26 42 0 14 Dec 2020
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning Mohammad Babaeizadeh M. Saffar Danijar Hafner Harini Kannan Chelsea Finn Sergey Levine D. Erhan VLM 27 9 0 08 Dec 2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning Hangtian Jia Yujing Hu Yingfeng Chen Chunxu Ren Tangjie Lv Changjie Fan Chongjie Zhang 43 22 0 06 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 12 41 0 04 Dec 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 44 20 0 27 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 17 168 0 26 Nov 2020
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System Junhyeok Ahn Luis Sentis 34 3 0 20 Nov 2020
Using Unity to Help Solve Intelligence Tom Ward Andrew Bolt Nik Hemmings Simon Carter Manuel Sanchez ... Jay Lemmon J. Coe Piotr Trochim T. Handley Adrian Bolton 27 18 0 18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 41 68 0 17 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking Fabio Pardo OffRL 8 31 0 15 Nov 2020
A Geometric Perspective on Self-Supervised Policy Adaptation Cristian Bodnar Karol Hausman Gabriel Dulac-Arnold Rico Jonschkowski SSL 44 5 0 14 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 32 212 0 14 Nov 2020
On the role of planning in model-based deep reinforcement learning Jessica B. Hamrick A. Friesen Feryal M. P. Behbahani A. Guez Fabio Viola Sims Witherspoon Thomas W. Anthony Lars Buesing Petar Velickovic T. Weber OffRL 30 65 0 08 Nov 2020
RealAnt: An Open-Source Low-Cost Quadruped for Education and Research in Real-World Reinforcement Learning Rinu Boney Jussi Sainio M. Kaivola Arno Solin Arno Solin 6 5 0 05 Nov 2020