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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 C. 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 / 796 papers shown
Title
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
19
19
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
211
179
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
37
270
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
20
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
26
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
Aaron C. Courville
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
30
136
0
31 Mar 2021
Visual Room Rearrangement
Visual Room Rearrangement
Luca Weihs
Matt Deitke
Aniruddha Kembhavi
Roozbeh Mottaghi
LM&Ro
12
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
30
74
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
31
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
15
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
23
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
20
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
24
104
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
24
174
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
30
53
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
18
146
0
05 Mar 2021
Task-Agnostic Morphology Evolution
Task-Agnostic Morphology Evolution
D. Hejna
Pieter Abbeel
Lerrel Pinto
22
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
41
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
11
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
413
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
30
180
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
6
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
29
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
119
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
67
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
17
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
6
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
165
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
36
307
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
15
124
0
21 Dec 2020
Evaluating Agents without Rewards
Evaluating Agents without Rewards
Brendon Matusch Jimmy Ba
Jimmy Ba
Danijar Hafner
12
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
19
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
23
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
11
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
14
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
23
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
14
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
10
25
0
27 Nov 2020
Learn to Bind and Grow Neural Structures
Learn to Bind and Grow Neural Structures
Azhar Shaikh
Nishant Sinha
CLL
16
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
20
67
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
15
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
9
23
0
13 Nov 2020
Reinforcement Learning with Videos: Combining Offline Observations with
  Interaction
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
Chelsea Finn
OffRL
11
105
0
12 Nov 2020
Zero-Shot Terrain Generalization for Visual Locomotion Policies
Zero-Shot Terrain Generalization for Visual Locomotion Policies
Alejandro Escontrela
George Yu
P. Xu
Atil Iscen
Jie Tan
6
17
0
11 Nov 2020
Challenges of Applying Deep Reinforcement Learning in Dynamic
  Dispatching
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
H. Khorasgani
Haiyan Wang
Chetan Gupta
OffRL
OnRL
17
10
0
09 Nov 2020
Rearrangement: A Challenge for Embodied AI
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
32
215
0
03 Nov 2020
Representation Matters: Improving Perception and Exploration for
  Robotics
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
...
Malcolm Reynolds
Denis Teplyashin
Roland Hafner
Thomas Lampe
Martin Riedmiller
26
15
0
03 Nov 2020
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