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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 / 381 papers shown
Title
On Realization of Intelligent Decision-Making in the Real World: A
  Foundation Decision Model Perspective
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective
Ying Wen
Bo Liu
M. Zhou
Shufang Hou
Zhe Cao
Chenyang Le
Jingxiao Chen
Zheng Tian
Weinan Zhang
Jun Wang
AI4CE
71
11
0
24 Dec 2022
Lifelong Reinforcement Learning with Modulating Masks
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu
Saptarshi Nath
Praveen K. Pilly
Soheil Kolouri
Andrea Soltoggio
CLLOffRL
89
23
0
21 Dec 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement
  Learning
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning
Zhecheng Yuan
Zhengrong Xue
Bo Yuan
Xueqian Wang
Yi Wu
Yang Gao
Huazhe Xu
SSLOffRL
102
73
0
17 Dec 2022
RT-1: Robotics Transformer for Real-World Control at Scale
RT-1: Robotics Transformer for Real-World Control at Scale
Anthony Brohan
Noah Brown
Justice Carbajal
Yevgen Chebotar
Joseph Dabis
...
Ted Xiao
Peng Xu
Sichun Xu
Tianhe Yu
Brianna Zitkovich
LM&Ro
172
1,160
0
13 Dec 2022
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation
  Learning
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning
Zhao Mandi
Homanga Bharadhwaj
Vincent Moens
Shuran Song
Aravind Rajeswaran
Vikash Kumar
LM&Ro
113
77
0
12 Dec 2022
MoDem: Accelerating Visual Model-Based Reinforcement Learning with
  Demonstrations
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
Nicklas Hansen
Yixin Lin
H. Su
Xiaolong Wang
Vikash Kumar
Aravind Rajeswaran
OffRL
77
51
0
12 Dec 2022
Few-Shot Preference Learning for Human-in-the-Loop RL
Few-Shot Preference Learning for Human-in-the-Loop RL
Joey Hejna
Dorsa Sadigh
OffRL
115
101
0
06 Dec 2022
Reinforcement learning with Demonstrations from Mismatched Task under
  Sparse Reward
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
Yanjiang Guo
Jingyue Gao
Zheng Wu
Chengming Shi
Jianyu Chen
OffRL
90
5
0
03 Dec 2022
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task
  Environments
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
Christian Bitter
Timo Thun
Tobias Meisen
96
1
0
01 Dec 2022
Learning to design without prior data: Discovering generalizable design
  strategies using deep learning and tree search
Learning to design without prior data: Discovering generalizable design strategies using deep learning and tree search
Ayush Raina
Jonathan Cagan
Christopher McComb
AI4CE
80
11
0
28 Nov 2022
Generalizing Gaussian Smoothing for Random Search
Generalizing Gaussian Smoothing for Random Search
Katelyn Gao
Ozan Sener
80
14
0
27 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
119
25
0
23 Nov 2022
Adaptive Prototypical Networks
Adaptive Prototypical Networks
Manas Gogoi
Sambhavi Tiwari
Shekhar Verma
72
2
0
22 Nov 2022
Building a Subspace of Policies for Scalable Continual Learning
Building a Subspace of Policies for Scalable Continual Learning
Jean-Baptiste Gaya
T. Doan
Lucas Caccia
Laure Soulier
Ludovic Denoyer
Roberta Raileanu
CLL
117
31
0
18 Nov 2022
Learning Reward Functions for Robotic Manipulation by Observing Humans
Learning Reward Functions for Robotic Manipulation by Observing Humans
Minttu Alakuijala
Gabriel Dulac-Arnold
Julien Mairal
Jean Ponce
Cordelia Schmid
OffRL
77
27
0
16 Nov 2022
Giving Feedback on Interactive Student Programs with Meta-Exploration
Giving Feedback on Interactive Student Programs with Meta-Exploration
Emmy Liu
Moritz Stephan
Allen Nie
Chris Piech
Emma Brunskill
Chelsea Finn
AI4Ed
104
7
0
16 Nov 2022
Rewards Encoding Environment Dynamics Improves Preference-based
  Reinforcement Learning
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning
Katherine Metcalf
Miguel Sarabia
B. Theobald
OffRL
83
5
0
12 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning
  and Incremental Updates
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates
Tobias Schnabel
Mengting Wan
Longqi Yang
HAI
57
9
0
11 Nov 2022
Avalon: A Benchmark for RL Generalization Using Procedurally Generated
  Worlds
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
Joshua Albrecht
Abraham J. Fetterman
Bryden Fogelman
Ellie Kitanidis
Bartosz Wróblewski
...
Michael Rosenthal
Maksis Knutins
Zachary Polizzi
James B. Simon
Kanjun Qiu
OffRL
83
23
0
24 Oct 2022
Solving Continuous Control via Q-learning
Solving Continuous Control via Q-learning
Tim Seyde
Peter Werner
Wilko Schwarting
Igor Gilitschenski
Martin Riedmiller
Daniela Rus
Markus Wulfmeier
OffRLLRM
87
23
0
22 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Probing Transfer in Deep Reinforcement Learning without Task Engineering
Andrei A. Rusu
Sebastian Flennerhag
Dushyant Rao
Razvan Pascanu
R. Hadsell
72
6
0
22 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
Lingfeng Sun
Haichao Zhang
Wei Xu
Masayoshi Tomizuka
MoE
93
42
0
21 Oct 2022
Hypernetworks in Meta-Reinforcement Learning
Hypernetworks in Meta-Reinforcement Learning
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
84
30
0
20 Oct 2022
Unpacking Reward Shaping: Understanding the Benefits of Reward
  Engineering on Sample Complexity
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
Abhishek Gupta
Aldo Pacchiano
Yuexiang Zhai
Sham Kakade
Sergey Levine
OffRL
105
67
0
18 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
120
10
0
15 Oct 2022
CUP: Critic-Guided Policy Reuse
CUP: Critic-Guided Policy Reuse
Jin Zhang
Siyuan Li
Chongjie Zhang
81
8
0
15 Oct 2022
Abstract-to-Executable Trajectory Translation for One-Shot Task
  Generalization
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
Stone Tao
Xiaochen Li
Tongzhou Mu
Zhiao Huang
Yuzhe Qin
Hao Su
68
3
0
14 Oct 2022
Visual Reinforcement Learning with Self-Supervised 3D Representations
Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze
Nicklas Hansen
Yinbo Chen
Mohit Jain
Xiaolong Wang
SSL
81
52
0
13 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding
L. Graesser
Saminda Abeyruwan
David B. DÁmbrosio
Anish Shankar
P. Sermanet
Pannag R Sanketi
Corey Lynch
119
22
0
07 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang
Agrim Gupta
Zichen Zhang
Guanzhi Wang
Yongqiang Dou
Yanjun Chen
Li Fei-Fei
Anima Anandkumar
Yuke Zhu
Linxi Fan
LM&Ro
115
355
0
06 Oct 2022
Neural Distillation as a State Representation Bottleneck in
  Reinforcement Learning
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning
Valentin Guillet
D. Wilson
Carlos Aguilar-Melchor
Emmanuel Rachelson
71
1
0
05 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning
Disentangling Transfer in Continual Reinforcement Learning
Maciej Wołczyk
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
127
28
0
28 Sep 2022
On the Convergence Theory of Meta Reinforcement Learning with
  Personalized Policies
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies
Haozhi Wang
Qing Wang
Yunfeng Shao
Dong Li
Jianye Hao
Yinchuan Li
69
0
0
21 Sep 2022
Honor of Kings Arena: an Environment for Generalization in Competitive
  Reinforcement Learning
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Hua Wei
Jingxiao Chen
Xiyang Ji
Hongyang Qin
Minwen Deng
...
Lin Liu
Lanxiao Huang
Deheng Ye
Qiang Fu
Wei Yang
81
31
0
18 Sep 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
Dieter Fox
LM&Ro
286
501
0
12 Sep 2022
Instruction-driven history-aware policies for robotic manipulations
Instruction-driven history-aware policies for robotic manipulations
Pierre-Louis Guhur
Shizhe Chen
Ricardo Garcia Pinel
Makarand Tapaswi
Ivan Laptev
Cordelia Schmid
LM&Ro
193
109
0
11 Sep 2022
Multi-skill Mobile Manipulation for Object Rearrangement
Multi-skill Mobile Manipulation for Object Rearrangement
Jiayuan Gu
Devendra Singh Chaplot
Hao Su
Jitendra Malik
109
54
0
06 Sep 2022
TarGF: Learning Target Gradient Field to Rearrange Objects without
  Explicit Goal Specification
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
Min-Yu Wu
Fangwei Zhong
Yulong Xia
Hao Dong
OOD
104
18
0
02 Sep 2022
Dynamics-Adaptive Continual Reinforcement Learning via Progressive
  Contextualization
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
Tiantian Zhang
Zichuan Lin
Yuxing Wang
Deheng Ye
Qiang Fu
Wei Yang
Xueqian Wang
Bin Liang
Bo Yuan
Xiu Li
CLL
101
11
0
01 Sep 2022
Continual Reinforcement Learning with TELLA
Continual Reinforcement Learning with TELLA
Neil Fendley
Cash Costello
Eric Q. Nguyen
Gino Perrotta
Corey Lowman
CLL
58
2
0
08 Aug 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down
  Credit Assignment Network
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network
Jian-Hui Chen
Cheng-Lin Liu
Zuoren Wang
51
0
0
01 Aug 2022
Offline Reinforcement Learning at Multiple Frequencies
Offline Reinforcement Learning at Multiple Frequencies
Kaylee Burns
Tianhe Yu
Chelsea Finn
Karol Hausman
OffRL
75
6
0
26 Jul 2022
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
Gabriel H. Sarch
Zhaoyuan Fang
Adam W. Harley
Paul Schydlo
Michael J. Tarr
Saurabh Gupta
Katerina Fragkiadaki
LM&Ro
88
45
0
21 Jul 2022
Learning Action Translator for Meta Reinforcement Learning on
  Sparse-Reward Tasks
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
Yijie Guo
Qiucheng Wu
Honglak Lee
OffRL
90
7
0
19 Jul 2022
Minimum Description Length Control
Minimum Description Length Control
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
71
1
0
17 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELMCLL
121
29
0
15 Jul 2022
CompoSuite: A Compositional Reinforcement Learning Benchmark
CompoSuite: A Compositional Reinforcement Learning Benchmark
Jorge Armando Mendez Mendez
Marcel Hussing
Meghna Gummadi
Eric Eaton
CoGeOffRL
82
14
0
08 Jul 2022
DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and
  Education
DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and Education
Sarvesh Patil
Samuel C. Alvares
Pragna Mannam
Oliver Kroemer
F. Z. Temel
31
5
0
02 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal
  Transport
Watch and Match: Supercharging Imitation with Regularized Optimal Transport
Siddhant Haldar
Vaibhav Mathur
Denis Yarats
Lerrel Pinto
107
67
0
30 Jun 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
177
149
0
28 Jun 2022
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