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"

50 / 799 papers shown

Title
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division Dafni Antotsiou C. Ciliberto Tae-Kyun Kim 23 3 0 28 Mar 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 116 0 25 Mar 2022
R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair Aravind Rajeswaran Vikash Kumar Chelsea Finn Abhi Gupta LM&Ro 19 544 0 23 Mar 2022
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili Changliu Liu 12 1 0 23 Mar 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning Jongjin Park Younggyo Seo Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 9 82 0 18 Mar 2022
Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning Satoshi Kataoka Seyed Kamyar Seyed Ghasemipour Daniel Freeman Igor Mordatch 16 19 0 15 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 24 44 0 15 Mar 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning Seyed Kamyar Seyed Ghasemipour Daniel Freeman Byron David S. Gu Satoshi Kataoka Igor Mordatch OffRL 27 25 0 15 Mar 2022
Object Manipulation via Visual Target Localization Kiana Ehsani Ali Farhadi Aniruddha Kembhavi Roozbeh Mottaghi LM&Ro 24 9 0 15 Mar 2022
RB2: Robotic Manipulation Benchmarking with a Twist Sudeep Dasari Jianren Wang Joyce Hong Shikhar Bahl Yixin Lin ... David Held Lerrel Pinto Deepak Pathak Vikash Kumar Abhi Gupta 24 26 0 15 Mar 2022
Masked Visual Pre-training for Motor Control Tete Xiao Ilija Radosavovic Trevor Darrell Jitendra Malik SSL 34 241 0 11 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 36 220 0 09 Mar 2022
What Matters For Meta-Learning Vision Regression Tasks? Ni Gao Hanna Ziesche Ngo Anh Vien Michael Volpp Gerhard Neumann VLM 18 29 0 09 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments I. Kanitscheider Harrison Edwards 24 0 0 04 Mar 2022
Transfer Dynamics in Emergent Evolutionary Curricula Aaron Dharna Amy K. Hoover Julian Togelius Lisa Soros 27 6 0 03 Mar 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 22 9 0 21 Feb 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic Yuqi Liu Qichao Zhang Dongbin Zhao 28 14 0 19 Feb 2022
Continual Learning from Demonstration of Robotics Skills Sayantan Auddy Jakob J. Hollenstein Matteo Saveriano A. Rodríguez-Sánchez J. Piater 6 22 0 14 Feb 2022
Contextualize Me -- The Case for Context in Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert Aditya Mohan Sebastian Dohler André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 24 29 0 09 Feb 2022
Meta-Reinforcement Learning with Self-Modifying Networks Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 17 5 0 04 Feb 2022
How to Leverage Unlabeled Data in Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Chelsea Finn Sergey Levine OffRL 27 61 0 03 Feb 2022
Multi-Task Learning as a Bargaining Game Aviv Navon Aviv Shamsian Idan Achituve Haggai Maron Kenji Kawaguchi Gal Chechik Ethan Fetaya 17 140 0 02 Feb 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 137 95 0 28 Jan 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 28 73 0 11 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
STIR $^2$ : Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks Jesús Bujalance Martín Fabien Moutarde OffRL 25 2 0 11 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 27 41 0 31 Dec 2021
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment Mingxin Yu Lin Shao Zhehuan Chen Tianhao Wu Qingnan Fan Kaichun Mo Hao Dong 18 17 0 19 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 35 26 0 17 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 23 16 0 08 Dec 2021
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Oier Mees Lukás Hermann Erick Rosete-Beas Wolfram Burgard LM&Ro 25 240 0 06 Dec 2021
A Survey of Robot Manipulation in Contact Markku Suomalainen Y. Karayiannidis Ville Kyrki 28 109 0 03 Dec 2021
Meta Arcade: A Configurable Environment Suite for Meta-Learning Edward W. Staley C. Ashcraft Ben Stoler Jared Markowitz Gautam K. Vallabha Christopher R. Ratto Kapil D. Katyal 6 6 0 01 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 43 21 0 29 Nov 2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning Nicolai Dorka Tim Welschehold Joschka Boedecker Wolfram Burgard OffRL 22 9 0 24 Nov 2021
Visual Goal-Directed Meta-Learning with Contextual Planning Networks Corban G. Rivera D. Handelman 31 0 0 18 Nov 2021
Assisted Robust Reward Design Jerry Zhi-Yang He Anca Dragan 11 9 0 18 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 27 93 0 04 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 31 30 0 02 Nov 2021
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher Samarth Sinha Animesh Garg Yoshinobu Kawahara OffRL 22 20 0 02 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 30 12 0 30 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives Murtaza Dalal Deepak Pathak Ruslan Salakhutdinov 27 90 0 28 Oct 2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence Nicholas Roy Ingmar Posner T. Barfoot Philippe Beaudoin Yoshua Bengio ... S. Schaal Gaurav Sukhatme D. Thérien Marc Toussaint M. van de Panne 30 53 0 28 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 30 132 0 28 Oct 2021
Millimeter Wave Wireless Assisted Robot Navigation with Link State Classification Mingsheng Yin A. Veldanda Amee Trivedi Jeff Zhang Kai Pfeiffer Yaqi Hu S. Garg E. Erkip Ludovic Righetti S. Rangan 22 20 0 27 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 33 297 0 26 Oct 2021
Towards More Generalizable One-shot Visual Imitation Learning Zhao Mandi Fangchen Liu Kimin Lee Pieter Abbeel 11 60 0 26 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 19 0 0 25 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine Joseph E. Gonzalez OffRL 29 16 0 22 Oct 2021