Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

24 October 2019

Papers citing "Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning"

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Title
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 133 4 0 13 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng Tianyi Chen Alfredo García Mingyi Hong 20 11 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 10 103 0 11 Oct 2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization S. Gu Manfred Diaz Daniel Freeman Hiroki Furuta Seyed Kamyar Seyed Ghasemipour Anton Raichuk Byron David Erik Frey Erwin Coumans Olivier Bachem 36 14 0 10 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion Tony Zhao Jianlan Luo Oleg O. Sushkov Rugile Pevceviciute N. Heess Jonathan Scholz S. Schaal Sergey Levine OffRL OnRL 17 80 0 08 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 203 43 0 06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning Zhanpeng He M. Ciocarlie 10 9 0 04 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 28 25 0 02 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation Jonathan Richard Schwarz Siddhant M. Jayakumar Razvan Pascanu P. Latham Yee Whye Teh 87 54 0 01 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More Abhishek Gupta Lei Zhou Yew-Soon Ong Zefeng Chen Yaqing Hou 25 80 0 27 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 32 229 0 26 Sep 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning Michael Wan Jian-wei Peng Tanmay Gangwani 18 7 0 18 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 24 78 0 16 Sep 2021
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations Ruohan Gao Yen-Yu Chang Shivani Mall Li Fei-Fei Jiajun Wu 31 78 0 16 Sep 2021
Few-shot Quality-Diversity Optimization Achkan Salehi Alexandre Coninx Stéphane Doncieux 9 14 0 14 Sep 2021
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang Hao Tian Haoyi Xiong Hua-Hong Wu Jie Fu Yang Cao Yu Kang Haifeng Wang AI4CE 15 3 0 08 Sep 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 21 44 0 07 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 32 3 0 04 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation Suraj Nair E. Mitchell Kevin Chen Brian Ichter Silvio Savarese Chelsea Finn LM&Ro OffRL 28 154 0 02 Sep 2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments Zhenshan Bing Lukas Knak F. O. Morin Kai-Qi Huang Alois C. Knoll OffRL 11 18 0 08 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... C. Karen Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 149 156 0 06 Aug 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 147 471 0 06 Aug 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks Chengshu Li Fei Xia Roberto Martín-Martín Michael Lingelbach S. Srivastava ... Karen Liu H. Gweon Jiajun Wu Li Fei-Fei Silvio Savarese LM&Ro 153 221 0 06 Aug 2021
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning Marco Ewerton Ángel Martínez-González J. Odobez 19 7 0 02 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research Fabrice Normandin Florian Golemo O. Ostapenko Pau Rodríguez López Matthew D Riemer ... Dominic Zhao Timothée Lesort Laurent Charlin Irina Rish Massimo Caccia CLL 6 20 0 02 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations Tongzhou Mu Z. Ling Fanbo Xiang Derek Yang Xuanlin Li Stone Tao Zhiao Huang Zhiwei Jia Hao Su 39 130 0 30 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 14 27 0 27 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 20 9 0 15 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Li Abhishek Gupta Ashwin Reddy Vitchyr H. Pong Aurick Zhou Justin Yu Sergey Levine UQCV 17 32 0 15 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision Vitchyr H. Pong Ashvin Nair Laura M. Smith Catherine Huang Sergey Levine OffRL 26 66 0 08 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning A. Kuzhamuratov Dmitry Sorokin Alexander Ulanov A. Lvovsky 21 0 0 08 Jul 2021
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 16 6 0 07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer C. Pal CML 29 54 0 02 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks Kuan Fang Yuke Zhu Silvio Savarese Li Fei-Fei 35 6 0 26 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation Oleh Rybkin Chuning Zhu Anusha Nagabandi Kostas Daniilidis Igor Mordatch Sergey Levine OffRL 19 38 0 24 Jun 2021
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model Chongkai Gao Haichuan Gao Shangqi Guo Tianren Zhang Feng Chen 31 25 0 17 Jun 2021
Unsupervised Learning of Visual 3D Keypoints for Control Boyuan Chen Pieter Abbeel Deepak Pathak 3DPC SSL 14 39 0 14 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training Kimin Lee Laura M. Smith Pieter Abbeel OffRL 11 271 0 09 Jun 2021
Lifetime policy reuse and the importance of task capacity David M. Bossens A. J. Sobey CLL OffRL 6 3 0 03 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning Matthias Muller-Brockhausen Mike Preuss Aske Plaat 17 9 0 31 May 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL OffRL 4 89 0 23 May 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning Xu-Hui Liu Zhenghai Xue Jing-Cheng Pang Shengyi Jiang Feng Xu Yang Yu OffRL 11 37 0 15 May 2021
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks Zhihao Li Zhenglong Sun Jionglong SU Jiaming Zhang 11 2 0 12 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics Yuan Pu Shaochen Wang Xin Yao Bin Li 6 1 0 07 May 2021
What is Going on Inside Recurrent Meta Reinforcement Learning Agents? Safa Alver Doina Precup AIFin 11 4 0 29 Apr 2021
ManipulaTHOR: A Framework for Visual Object Manipulation Kiana Ehsani Winson Han Alvaro Herrasti Eli VanderBilt Luca Weihs Eric Kolve Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 171 124 0 22 Apr 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 69 94 0 22 Apr 2021