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

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

50 / 801 papers shown
Title
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
15
2
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
11
88
0
07 May 2021
What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
Safa Alver
Doina Precup
AIFin
16
4
0
29 Apr 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
171
125
0
22 Apr 2021
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning
  Dexterous Manipulation Behaviors without Human Intervention
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
72
95
0
22 Apr 2021
Outcome-Driven Reinforcement Learning via Variational Inference
Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner
Vitchyr H. Pong
R. McAllister
Y. Gal
Sergey Levine
32
20
0
20 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
223
180
0
18 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
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
47
271
0
16 Apr 2021
GridToPix: Training Embodied Agents with Minimal Supervision
GridToPix: Training Embodied Agents with Minimal Supervision
Unnat Jain
Iou-Jen Liu
Svetlana Lazebnik
Aniruddha Kembhavi
Luca Weihs
A. Schwing
28
23
0
14 Apr 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang
Long Lian
Stella X. Yu
OOD
34
37
0
07 Apr 2021
Touch-based Curiosity for Sparse-Reward Tasks
Touch-based Curiosity for Sparse-Reward Tasks
Sai Rajeswar
Cyril Ibrahim
Nitin Surya
Florian Golemo
David Vazquez
Rameswar Panda
Pedro H. O. Pinheiro
12
6
0
01 Apr 2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human
  Videos
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen
Suraj Nair
Chelsea Finn
38
137
0
31 Mar 2021
Visual Room Rearrangement
Visual Room Rearrangement
Luca Weihs
Matt Deitke
Aniruddha Kembhavi
Roozbeh Mottaghi
LM&Ro
14
138
0
30 Mar 2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion
  Planning Benchmark for Physically Realistic Embodied AI
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
35
75
0
25 Mar 2021
Replacing Rewards with Examples: Example-Based Policy Search via
  Recursive Classification
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Benjamin Eysenbach
Sergey Levine
Ruslan Salakhutdinov
OffRL
34
50
0
23 Mar 2021
Quality Evolvability ES: Evolving Individuals With a Distribution of
  Well Performing and Diverse Offspring
Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
Adam Katona
D. Franks
James Alfred Walker
23
5
0
19 Mar 2021
Solving Compositional Reinforcement Learning Problems via Task Reduction
Solving Compositional Reinforcement Learning Problems via Task Reduction
Yunfei Li
Yilin Wu
Huazhe Xu
Xiaolong Wang
Yi Wu
28
19
0
13 Mar 2021
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised
  Trajectory Contrastive Learning
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
26
7
0
10 Mar 2021
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement
  Learning
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning
Samarth Sinha
Ajay Mandlekar
Animesh Garg
OffRL
26
105
0
10 Mar 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Maximum Entropy RL (Provably) Solves Some Robust RL Problems
Benjamin Eysenbach
Sergey Levine
OOD
41
175
0
10 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward
  Randomization
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
41
52
0
08 Mar 2021
Deep reinforcement learning in medical imaging: A literature review
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
29
146
0
05 Mar 2021
Task-Agnostic Morphology Evolution
Task-Agnostic Morphology Evolution
D. Hejna
Pieter Abbeel
Lerrel Pinto
30
26
0
25 Feb 2021
Bias-reduced Multi-step Hindsight Experience Replay for Efficient
  Multi-goal Reinforcement Learning
Bias-reduced Multi-step Hindsight Experience Replay for Efficient Multi-goal Reinforcement Learning
Rui Yang
Jiafei Lyu
Yu Yang
Jiangpeng Yan
Feng Luo
Dijun Luo
Lanqing Li
Xiu Li
43
6
0
25 Feb 2021
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade
  Execution
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution
Karush Suri
Xiaolong Shi
Konstantinos Plataniotis
Y. Lawryshyn
OffRL
18
4
0
16 Feb 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
415
0
16 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani
Amy Zhang
Joelle Pineau
32
182
0
11 Feb 2021
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic
  Reaching Tasks
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks
Pierre Aumjaud
David McAuliffe
Francisco J. Rodríguez-Lera
P. Cardiff
19
10
0
09 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement
  learning agents
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
Jane X. Wang
Michael King
Nicolas Porcel
Z. Kurth-Nelson
Tina Zhu
...
Neil C. Rabinowitz
Loic Matthey
Demis Hassabis
Alexander Lerchner
M. Botvinick
OffRL
23
30
0
04 Feb 2021
Learning by Watching: Physical Imitation of Manipulation Skills from
  Human Videos
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
128
93
0
18 Jan 2021
Asymmetric self-play for automatic goal discovery in robotic
  manipulation
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
82
76
0
13 Jan 2021
Action Priors for Large Action Spaces in Robotics
Action Priors for Large Action Spaces in Robotics
Ondrej Biza
Dian Wang
Robert W. Platt
Jan-Willem van de Meent
Lawson L. S. Wong
19
14
0
11 Jan 2021
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces
Takahisa Imagawa
Takuya Hiraoka
Yoshimasa Tsuruoka
OffRL
9
2
0
06 Jan 2021
When Is Generalizable Reinforcement Learning Tractable?
When Is Generalizable Reinforcement Learning Tractable?
Dhruv Malik
Yuanzhi Li
Pradeep Ravikumar
OffRL
84
24
0
01 Jan 2021
Model-Based Visual Planning with Self-Supervised Functional Distances
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
168
58
0
30 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLL
OffRL
49
310
0
25 Dec 2020
Offline Reinforcement Learning from Images with Latent Space Models
Offline Reinforcement Learning from Images with Latent Space Models
Rafael Rafailov
Tianhe Yu
Aravind Rajeswaran
Chelsea Finn
OffRL
23
125
0
21 Dec 2020
Evaluating Agents without Rewards
Evaluating Agents without Rewards
Brendon Matusch Jimmy Ba
Jimmy Ba
Danijar Hafner
23
12
0
21 Dec 2020
Learning Visual Robotic Control Efficiently with Contrastive
  Pre-training and Data Augmentation
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
Albert Zhan
Philip Zhao
Lerrel Pinto
Pieter Abbeel
Michael Laskin
SSL
DRL
27
20
0
14 Dec 2020
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer
  Distillation
Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation
Chenyang Zhao
Timothy M. Hospedales
OOD
25
16
0
09 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl
Mustafa Mukadam
Abhinav Gupta
Deepak Pathak
24
83
0
04 Dec 2020
Intervention Design for Effective Sim2Real Transfer
Intervention Design for Effective Sim2Real Transfer
Melissa Mozifian
Amy Zhang
Joelle Pineau
D. Meger
17
9
0
03 Dec 2020
Latent Skill Planning for Exploration and Transfer
Latent Skill Planning for Exploration and Transfer
Kevin Xie
Homanga Bharadhwaj
Danijar Hafner
Animesh Garg
Florian Shkurti
39
20
0
27 Nov 2020
Connecting Context-specific Adaptation in Humans to Meta-learning
Connecting Context-specific Adaptation in Humans to Meta-learning
Rachit Dubey
Erin Grant
Michael Luo
Karthik Narasimhan
Thomas L. Griffiths
24
4
0
27 Nov 2020
Adaptable Automation with Modular Deep Reinforcement Learning and Policy
  Transfer
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
26
25
0
27 Nov 2020
Learn to Bind and Grow Neural Structures
Learn to Bind and Grow Neural Structures
Azhar Shaikh
Nishant Sinha
CLL
21
0
0
21 Nov 2020
SAFARI: Safe and Active Robot Imitation Learning with Imagination
SAFARI: Safe and Active Robot Imitation Learning with Imagination
Norman Di Palo
Edward Johns
11
8
0
18 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
38
68
0
17 Nov 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object
  Manipulation
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Xingyu Lin
Yufei Wang
Jake Olkin
David Held
32
210
0
14 Nov 2020
Learning Object Manipulation Skills via Approximate State Estimation
  from Real Videos
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
Vladimir Petrik
Makarand Tapaswi
Ivan Laptev
Josef Sivic
14
23
0
13 Nov 2020
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