Title
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 93 21 0 20 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 299 185 0 18 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 132 280 0 16 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision Unnat Jain Iou-Jen Liu Svetlana Lazebnik Aniruddha Kembhavi Luca Weihs Alex Schwing 114 23 0 14 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang Long Lian Stella X. Yu OOD 98 39 0 07 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos Annie S. Chen Suraj Nair Chelsea Finn 94 141 0 31 Mar 2021
Visual Room Rearrangement Luca Weihs Matt Deitke Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 67 139 0 30 Mar 2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI Chuang Gan Siyuan Zhou Jeremy Schwartz S. Alter Abhishek Bhandwaldar ... Daniel L. K. Yamins J. DiCarlo Josh H. McDermott Antonio Torralba J. Tenenbaum LM&Ro 118 81 0 25 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 133 50 0 23 Mar 2021
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring Adam Katona D. Franks James Alfred Walker 58 5 0 19 Mar 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning Bernie Wang Si-ting Xu Kurt Keutzer Yang Gao Bichen Wu SSL OffRL 55 7 0 10 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning Samarth Sinha Ajay Mandlekar Animesh Garg OffRL 72 108 0 10 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 128 186 0 10 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 106 55 0 08 Mar 2021
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 77 149 0 05 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 71 27 0 25 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 302 433 0 16 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 98 192 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
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos Haoyu Xiong Quanzhou Li Yun-Chun Chen Homanga Bharadhwaj Samarth Sinha Animesh Garg SSL 194 100 0 18 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic manipulation OpenAI OpenAI Matthias Plappert Raul Sampedro Tao Xu Ilge Akkaya ... Hyeonwoo Noh Lilian Weng Qiming Yuan Casey Chu Wojciech Zaremba SSL 143 79 0 13 Jan 2021
Action Priors for Large Action Spaces in Robotics Ondrej Biza Dian Wang Robert Platt Jan-Willem van de Meent Lawson L. S. Wong 78 14 0 11 Jan 2021
When Is Generalizable Reinforcement Learning Tractable? Dhruv Malik Yuanzhi Li Pradeep Ravikumar OffRL 191 25 0 01 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances Stephen Tian Suraj Nair F. Ebert Sudeep Dasari Benjamin Eysenbach Chelsea Finn Sergey Levine SSL OffRL 225 60 0 30 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 142 324 0 25 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn OffRL 86 129 0 21 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 88 21 0 14 Dec 2020
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation Chenyang Zhao Timothy M. Hospedales OOD 49 16 0 09 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 77 86 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
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas Griffiths 103 4 0 27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 77 25 0 27 Nov 2020
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 42 0 0 21 Nov 2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination Norman Di Palo Edward Johns 69 8 0 18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 85 71 0 17 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 103 218 0 14 Nov 2020
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos Vladimir Petrik Makarand Tapaswi Ivan Laptev Josef Sivic 62 23 0 13 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction Karl Schmeckpeper Oleh Rybkin Kostas Daniilidis Sergey Levine Chelsea Finn OffRL 91 107 0 12 Nov 2020
Zero-Shot Terrain Generalization for Visual Locomotion Policies Alejandro Escontrela George Yu P. Xu Atil Iscen Jie Tan 64 17 0 11 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching H. Khorasgani Haiyan Wang Chetan Gupta OffRL OnRL 63 10 0 09 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 114 220 0 03 Nov 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning Ricardo Luna Gutierrez Matteo Leonetti 74 18 0 02 Nov 2020
The MAGICAL Benchmark for Robust Imitation Sam Toyer Rohin Shah Andrew Critch Stuart J. Russell 75 36 0 01 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 95 15 0 29 Oct 2020
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning Anurag Ajay Aviral Kumar Pulkit Agrawal Sergey Levine Ofir Nachum OffRL OnRL 101 160 0 26 Oct 2020
Modeling and Optimization Trade-off in Meta-learning Katelyn Gao Ozan Sener 67 27 0 24 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 107 123 0 08 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 84 39 0 02 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 217 626 0 10 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 69 75 0 28 Aug 2020