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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
v1v2 (latest)

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

24 October 2019
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
    OffRL
ArXiv (abs)PDFHTML

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

50 / 382 papers shown
Title
Context Meta-Reinforcement Learning via Neuromodulation
Context Meta-Reinforcement Learning via Neuromodulation
Eseoghene Ben-Iwhiwhu
Jeffery Dick
Nicholas A. Ketz
Praveen K. Pilly
Andrea Soltoggio
OffRL
118
13
0
30 Oct 2021
Accelerating Robotic Reinforcement Learning via Parameterized Action
  Primitives
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal
Deepak Pathak
Ruslan Salakhutdinov
124
94
0
28 Oct 2021
From Machine Learning to Robotics: Challenges and Opportunities for
  Embodied Intelligence
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy
Ingmar Posner
Timothy D. Barfoot
Philippe Beaudoin
Yoshua Bengio
...
S. Schaal
Gaurav Sukhatme
D. Thérien
Marc Toussaint
M. van de Panne
114
56
0
28 Oct 2021
URLB: Unsupervised Reinforcement Learning Benchmark
URLB: Unsupervised Reinforcement Learning Benchmark
Michael Laskin
Denis Yarats
Hao Liu
Kimin Lee
Albert Zhan
Kevin Lu
Catherine Cang
Lerrel Pinto
Pieter Abbeel
SSLOffRL
86
139
0
28 Oct 2021
Millimeter Wave Wireless Assisted Robot Navigation with Link State
  Classification
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
57
20
0
27 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu
Xingchao Liu
Xiaojie Jin
Peter Stone
Qiang Liu
120
319
0
26 Oct 2021
Towards More Generalizable One-shot Visual Imitation Learning
Towards More Generalizable One-shot Visual Imitation Learning
Zhao Mandi
Fangchen Liu
Kimin Lee
Pieter Abbeel
82
61
0
26 Oct 2021
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Tianjun Zhang
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
Joseph E. Gonzalez
OffRL
95
18
0
22 Oct 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
OffRL
105
40
0
19 Oct 2021
Discovering and Achieving Goals via World Models
Discovering and Achieving Goals via World Models
Russell Mendonca
Oleh Rybkin
Kostas Daniilidis
Danijar Hafner
Deepak Pathak
99
127
0
18 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task
OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
J. Tenenbaum
Phillip Isola
LRM
205
4
0
13 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated
  Actor-Critic Algorithm and Finite-Time Guarantees
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng
Tianyi Chen
Alfredo García
Mingyi Hong
92
11
0
11 Oct 2021
Offline Meta-Reinforcement Learning for Industrial Insertion
Offline Meta-Reinforcement Learning for Industrial Insertion
Tony Zhao
Jianlan Luo
Oleg O. Sushkov
Rugile Pevceviciute
N. Heess
Jonathan Scholz
S. Schaal
Sergey Levine
OffRLOnRL
95
83
0
08 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
94
23
0
05 Oct 2021
Discovering Synergies for Robot Manipulation with Multi-Task
  Reinforcement Learning
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning
Zhanpeng He
M. Ciocarlie
30
10
0
04 Oct 2021
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
194
55
0
01 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
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
319
91
0
27 Sep 2021
Half a Dozen Real-World Applications of Evolutionary Multitasking, and
  More
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More
Abhishek Gupta
Lei Zhou
Yew-Soon Ong
Zefeng Chen
Yaqing Hou
70
83
0
27 Sep 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
127
262
0
26 Sep 2021
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Hindsight Foresight Relabeling for Meta-Reinforcement Learning
Michael Wan
Jian-wei Peng
Tanmay Gangwani
107
6
0
18 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
91
77
0
16 Sep 2021
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and
  Tactile Representations
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
Ruohan Gao
Yen-Yu Chang
Shivani Mall
Li Fei-Fei
Jiajun Wu
111
84
0
16 Sep 2021
Few-shot Quality-Diversity Optimization
Few-shot Quality-Diversity Optimization
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
83
14
0
14 Sep 2021
Evolving Decomposed Plasticity Rules for Information-Bottlenecked
  Meta-Learning
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning
Fan Wang
Hao Tian
Haoyi Xiong
Hua Wu
Jie Fu
Yang Cao
Yu Kang
Haifeng Wang
AI4CE
97
3
0
08 Sep 2021
Robust Predictable Control
Robust Predictable Control
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
91
45
0
07 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning
  Algorithms
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
61
3
0
04 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
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&RoOffRL
132
160
0
02 Sep 2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
Zhenshan Bing
Lukas Knak
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
OffRL
63
19
0
08 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual,
  Interactive, and Ecological Environments
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
S. Srivastava
Chengshu Li
Michael Lingelbach
Roberto Martín-Martín
Fei Xia
...
Chenxi Liu
Silvio Savarese
H. Gweon
Jiajun Wu
Li Fei-Fei
LM&Ro
251
168
0
06 Aug 2021
What Matters in Learning from Offline Human Demonstrations for Robot
  Manipulation
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
293
519
0
06 Aug 2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks
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
238
237
0
06 Aug 2021
An Efficient Image-to-Image Translation HourGlass-based Architecture for
  Object Pushing Policy Learning
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
Marco Ewerton
Ángel Martínez-González
J. Odobez
67
7
0
02 Aug 2021
Sequoia: A Software Framework to Unify Continual Learning Research
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
94
21
0
02 Aug 2021
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale
  Demonstrations
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
152
138
0
30 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
93
30
0
27 Jul 2021
A Channel Coding Benchmark for Meta-Learning
A Channel Coding Benchmark for Meta-Learning
Rui Li
Ondrej Bohdal
Rajesh K. Mishra
Hyeji Kim
Da Li
Nicholas D. Lane
Timothy M. Hospedales
84
9
0
15 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven
  Reinforcement Learning
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Wenliang Li
Abhishek Gupta
Ashwin Reddy
Vitchyr H. Pong
Aurick Zhou
Justin Yu
Sergey Levine
UQCV
69
31
0
15 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
152
66
0
08 Jul 2021
Management of Resource at the Network Edge for Federated Learning
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
80
6
0
07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
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
77
6
0
07 Jul 2021
Systematic Evaluation of Causal Discovery in Visual Model Based
  Reinforcement Learning
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
83
57
0
02 Jul 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin
Chuning Zhu
Anusha Nagabandi
Kostas Daniilidis
Igor Mordatch
Sergey Levine
OffRL
73
38
0
24 Jun 2021
Unsupervised Learning of Visual 3D Keypoints for Control
Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen
Pieter Abbeel
Deepak Pathak
3DPCSSL
92
40
0
14 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via
  Relabeling Experience and Unsupervised Pre-training
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee
Laura M. Smith
Pieter Abbeel
OffRL
67
289
0
09 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer
  Reinforcement Learning
Procedural Content Generation: Better Benchmarks for Transfer Reinforcement Learning
Matthias Muller-Brockhausen
Mike Preuss
Aske Plaat
66
9
0
31 May 2021
Continual World: A Robotic Benchmark For Continual Reinforcement
  Learning
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLLOffRL
79
98
0
23 May 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement
  Learning
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Xu-Hui Liu
Zhenghai Xue
Jing-Cheng Pang
Shengyi Jiang
Feng Xu
Yang Yu
OffRL
73
37
0
15 May 2021
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation
  Tasks
Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation Tasks
Zhihao Li
Zhenglong Sun
Jionglong SU
Jiaming Zhang
28
3
0
12 May 2021
Context-Based Soft Actor Critic for Environments with Non-stationary
  Dynamics
Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics
Yuan Pu
Shaochen Wang
Xin Yao
Bin Li
32
1
0
07 May 2021
ManipulaTHOR: A Framework for Visual Object Manipulation
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
260
131
0
22 Apr 2021
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