Title
Sufficiently Accurate Model Learning for Planning Clark Zhang Santiago Paternain Alejandro Ribeiro 29 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 66 10 0 09 Feb 2021
Measuring Progress in Deep Reinforcement Learning Sample Efficiency Florian E. Dorner 55 13 0 09 Feb 2021
Continuous-Time Model-Based Reinforcement Learning Çağatay Yıldız Markus Heinonen Harri Lähdesmäki OffRL 74 58 0 09 Feb 2021
MALI: A memory efficient and reverse accurate integrator for Neural ODEs Juntang Zhuang Nicha Dvornek S. Tatikonda James S. Duncan 103 52 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 58 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 61 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 99 59 0 07 Feb 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 104 37 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 199 83 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 87 16 0 23 Jan 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 181 102 0 07 Jan 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 80 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 35 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 93 65 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 98 21 0 14 Dec 2020
Relative Variational Intrinsic Control Kate Baumli David Warde-Farley Steven Hansen Volodymyr Mnih 79 43 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 65 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 94 23 0 06 Dec 2020
Planning from Pixels using Inverse Dynamics Models Keiran Paster Sheila A. McIlraith Jimmy Ba BDL 75 41 0 04 Dec 2020
Latent Skill Planning for Exploration and Transfer Kevin Xie Homanga Bharadhwaj Danijar Hafner Animesh Garg Florian Shkurti 95 20 0 27 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation Nicklas Hansen Xiaolong Wang OffRL 136 175 0 26 Nov 2020
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System Junhyeok Ahn Luis Sentis 38 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 71 18 0 18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 89 71 0 17 Nov 2020
Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking Fabio Pardo OffRL 69 31 0 15 Nov 2020
A Geometric Perspective on Self-Supervised Policy Adaptation Cristian Bodnar Karol Hausman Gabriel Dulac-Arnold Rico Jonschkowski SSL 89 5 0 14 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 114 219 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 120 66 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 58 5 0 05 Nov 2020
Representation Matters: Improving Perception and Exploration for Robotics Markus Wulfmeier Arunkumar Byravan Tim Hertweck I. Higgins Ankush Gupta ... Malcolm Reynolds Denis Teplyashin Roland Hafner Thomas Lampe Martin Riedmiller 101 16 0 03 Nov 2020
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition J. Siekmann Yesh Godse Alan Fern J. Hurst 111 159 0 02 Nov 2020
Observation Space Matters: Benchmark and Optimization Algorithm J. Kim Sehoon Ha OOD OffRL 49 11 0 02 Nov 2020
Deep Reactive Planning in Dynamic Environments Keita Ota Devesh K. Jha T. Onishi Asako Kanezaki Yusuke Yoshiyasu Y. Sasaki T. Mariyama D. Nikovski 54 6 0 31 Oct 2020
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles Tim Seyde Wilko Schwarting S. Karaman Daniela Rus 109 14 0 27 Oct 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 116 40 0 27 Oct 2020
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls Jeongho Kim Jaeuk Shin Insoon Yang 61 35 0 27 Oct 2020
How to Make Deep RL Work in Practice Nirnai Rao Elie Aljalbout Axel Sauer Sami Haddadin OffRL 138 11 0 25 Oct 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics Jianren Wang Yujie Lu Hang Zhao 102 5 0 23 Oct 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Guangxiang Zhu Minghao Zhang Honglak Lee Chongjie Zhang OffRL 140 18 0 23 Oct 2020
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing A. Delarue Ross Anderson Christian Tjandraatmadja 89 95 0 22 Oct 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 108 14 0 20 Oct 2020
Measuring Visual Generalization in Continuous Control from Pixels J. E. Grigsby Yanjun Qi 43 25 0 13 Oct 2020
Balancing Constraints and Rewards with Meta-Gradient D4PG D. A. Calian D. Mankowitz Tom Zahavy Zhongwen Xu Junhyuk Oh Nir Levine Timothy A. Mann 78 26 0 13 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 82 15 0 12 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 118 123 0 08 Oct 2020
Agent Environment Cycle Games J. K. Terry Nathaniel Grammel Benjamin Black Ananth Hari Caroline Horsch L. Santos 65 7 0 28 Sep 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 400 346 0 14 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 79 12 0 11 Sep 2020
AllenAct: A Framework for Embodied AI Research Luca Weihs Jordi Salvador Klemen Kotar Unnat Jain Kuo-Hao Zeng Roozbeh Mottaghi Aniruddha Kembhavi LM&Ro AI4CE 80 75 0 28 Aug 2020