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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
RoboHive: A Unified Framework for Robot Learning
RoboHive: A Unified Framework for Robot Learning
Vikash Kumar
Rutav Shah
Gaoyue Zhou
Vincent Moens
Vittorio Caggiano
Jay Vakil
Abhishek Gupta
Aravind Rajeswaran
22
22
0
10 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based
  Reinforcement Learning
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
Ran Wei
Nathan Lambert
Anthony D. McDonald
Alfredo Garcia
Roberto Calandra
33
6
0
10 Oct 2023
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot
  Collaboration
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm
Felix Trost
Matthias Althoff
OffRL
39
6
0
09 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable
  Environments
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen
Junyin Ye
Hang Zhao
Yi-Chen Li
Haoran Shi
...
Si-Hang Yang
Anqi Huang
Kai Xu
Zongzhang Zhang
Yang Yu
35
0
0
09 Oct 2023
Compositional Servoing by Recombining Demonstrations
Compositional Servoing by Recombining Demonstrations
Max Argus
Abhijeet Nayak
Martin Buchner
Silvio Galesso
Abhinav Valada
Thomas Brox
33
0
0
06 Oct 2023
Human-oriented Representation Learning for Robotic Manipulation
Human-oriented Representation Learning for Robotic Manipulation
Mingxiao Huo
Mingyu Ding
Chenfeng Xu
Thomas Tian
Xinghao Zhu
Yao Mu
Lingfeng Sun
Masayoshi Tomizuka
Wei Zhan
SSL
50
12
0
04 Oct 2023
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon
  Decision-Making in Embodied AI
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI
Emily Jin
Jiaheng Hu
Zhuoyi Huang
Ruohan Zhang
Jiajun Wu
Fei-Fei Li
Roberto Martín-Martín
LM&Ro
23
11
0
03 Oct 2023
Blending Imitation and Reinforcement Learning for Robust Policy
  Improvement
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Xuefeng Liu
Takuma Yoneda
Rick L. Stevens
Matthew R. Walter
Yuxin Chen
42
10
0
03 Oct 2023
Robot Fleet Learning via Policy Merging
Robot Fleet Learning via Policy Merging
Lirui Wang
Kaiqing Zhang
Allan Zhou
Max Simchowitz
Russ Tedrake
46
4
0
02 Oct 2023
GenSim: Generating Robotic Simulation Tasks via Large Language Models
GenSim: Generating Robotic Simulation Tasks via Large Language Models
Lirui Wang
Yiyang Ling
Zhecheng Yuan
Mohit Shridhar
Chen Bao
Yuzhe Qin
Bailin Wang
Huazhe Xu
Xiaolong Wang
LM&Ro
29
76
0
02 Oct 2023
HarmonyDream: Task Harmonization Inside World Models
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma
Jialong Wu
Ningya Feng
Chenjun Xiao
Dong Li
Jianye Hao
Jianmin Wang
Mingsheng Long
41
7
0
30 Sep 2023
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation
Shizhe Chen
Ricardo Garcia Pinel
Cordelia Schmid
Ivan Laptev
LM&Ro
3DPC
33
34
0
27 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Jacob Beck
Risto Vuorio
Zheng Xiong
Shimon Whiteson
45
9
0
26 Sep 2023
Text2Reward: Reward Shaping with Language Models for Reinforcement
  Learning
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
Tianbao Xie
Siheng Zhao
Chen Henry Wu
Yitao Liu
Qian Luo
Victor Zhong
Yanchao Yang
Tao Yu
LM&Ro
50
48
0
20 Sep 2023
Q-Transformer: Scalable Offline Reinforcement Learning via
  Autoregressive Q-Functions
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
Yevgen Chebotar
Q. Vuong
A. Irpan
Karol Hausman
F. Xia
...
Brianna Zitkovich
Tomas Jackson
Kanishka Rao
Chelsea Finn
Sergey Levine
OffRL
131
81
0
18 Sep 2023
gym-saturation: Gymnasium environments for saturation provers (System
  description)
gym-saturation: Gymnasium environments for saturation provers (System description)
Boris Shminke
44
1
0
16 Sep 2023
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts
Julia Di
17
1
0
15 Sep 2023
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement
  Learning
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
Sidney Besnard
Shuyu Yang
M. Fadili
OffRL
34
2
0
13 Sep 2023
Efficient RL via Disentangled Environment and Agent Representations
Efficient RL via Disentangled Environment and Agent Representations
Kevin Gmelin
Shikhar Bahl
Russell Mendonca
Deepak Pathak
DRL
35
8
0
05 Sep 2023
RoboAgent: Generalization and Efficiency in Robot Manipulation via
  Semantic Augmentations and Action Chunking
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking
Homanga Bharadhwaj
Jay Vakil
Mohit Sharma
Abhi Gupta
Shubham Tulsiani
Vikash Kumar
LM&Ro
21
116
0
05 Sep 2023
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon
  Manipulation
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation
Yuanpei Chen
Chen Wang
Fei-Fei Li
Chenxi Liu
11
40
0
02 Sep 2023
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural
  Feature Fields
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields
Yanjie Ze
Ge Yan
Yueh-hua Wu
Annabella Macaluso
Yuying Ge
Jianglong Ye
Nicklas Hansen
Li Erran Li
Xueliang Wang
DiffM
AI4CE
19
80
0
31 Aug 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Satoshi Yamamori
Jun Morimoto
26
0
0
31 Aug 2023
BridgeData V2: A Dataset for Robot Learning at Scale
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke
Kevin Black
Abraham Lee
Moo Jin Kim
Maximilian Du
...
Andre Wang He
Vivek Myers
Kuan Fang
Chelsea Finn
Sergey Levine
32
207
0
24 Aug 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for
  Multi-Policy Reuse
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
24
1
0
14 Aug 2023
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models
  and Methods
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods
Ya Jing
Xuelin Zhu
Xingbin Liu
Qie Sima
Taozheng Yang
Yunhai Feng
Tao Kong
LM&Ro
45
16
0
07 Aug 2023
Pre-Trained Large Language Models for Industrial Control
Pre-Trained Large Language Models for Industrial Control
Lei Song
Chuheng Zhang
Li Zhao
Jiang Bian
LM&Ro
AI4CE
32
12
0
06 Aug 2023
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning
  from Human Feedback
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Dinesh Manocha
Huazheng Wang
Mengdi Wang
Furong Huang
31
26
0
03 Aug 2023
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition
Huy Ha
Peter R. Florence
Shuran Song
LM&Ro
47
151
0
26 Jul 2023
Contrastive Example-Based Control
Contrastive Example-Based Control
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
31
4
0
24 Jul 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement
  Learning
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Kaiwen Wang
Junxiong Wang
Yueying Li
Nathan Kallus
Immanuel Trummer
Wen Sun
GP
50
2
0
21 Jul 2023
A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of
  Embodied AI
A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of Embodied AI
Fang Gao
XueTao Li
Jun Yu
Shaung Feng
37
2
0
21 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Zhiao Huang
Litian Liang
Z. Ling
Xuanlin Li
Chuang Gan
H. Su
33
11
0
20 Jul 2023
STRAPPER: Preference-based Reinforcement Learning via Self-training
  Augmentation and Peer Regularization
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization
Yachen Kang
Li He
Jinxin Liu
Zifeng Zhuang
Donglin Wang
39
0
0
19 Jul 2023
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase
  Training
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training
Yao Wei
Yanchao Sun
Ruijie Zheng
Sai H. Vemprala
Rogerio Bonatti
Shuhang Chen
Ratnesh Madaan
Zhongjie Ba
Ashish Kapoor
Shuang Ma
OffRL
30
15
0
16 Jul 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
Zhecheng Yuan
Sizhe Yang
Pu Hua
C. Chang
Kaizhe Hu
Huazhe Xu
OOD
OffRL
24
17
0
15 Jul 2023
Robotic Manipulation Datasets for Offline Compositional Reinforcement
  Learning
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
Marcel Hussing
Jorge Armando Mendez Mendez
Anisha Singrodia
Cassandra Kent
Eric Eaton
OffRL
31
5
0
13 Jul 2023
Boosting Feedback Efficiency of Interactive Reinforcement Learning by
  Adaptive Learning from Scores
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores
Shukai Liu
Chenming Wu
Ying Li
Liang Zhang
37
0
0
11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
29
70
0
10 Jul 2023
Polybot: Training One Policy Across Robots While Embracing Variability
Polybot: Training One Policy Across Robots While Embracing Variability
Jonathan Yang
Dorsa Sadigh
Chelsea Finn
21
34
0
07 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual
  Robotic Manipulation
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie
Lisa Lee
Ted Xiao
Chelsea Finn
25
55
0
07 Jul 2023
Causal Reinforcement Learning: A Survey
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CML
LRM
50
13
0
04 Jul 2023
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in
  One-Shot
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Haoshu Fang
Hongjie Fang
Zhenyu Tang
Jirong Liu
Chenxi Wang
Junbo Wang
Haoyi Zhu
Cewu Lu
46
58
0
02 Jul 2023
Comparing Reinforcement Learning and Human Learning using the Game of
  Hidden Rules
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules
Eric Pulick
Vladimir Menkov
Yonatan Dov Mintz
Paul B. Kantor
Vicki M. Bier
OffRL
11
0
0
30 Jun 2023
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating
  Replicable Scenes
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
Ninad Khargonkar
Sai Haneesh Allu
Ya Lu
Jishnu Jaykumar
Balakrishnan Prabhakaran
Yu Xiang
16
2
0
27 Jun 2023
Learning to Modulate pre-trained Models in RL
Learning to Modulate pre-trained Models in RL
Thomas Schmied
M. Hofmarcher
Fabian Paischer
Razvan Pascanu
Sepp Hochreiter
CLL
OffRL
26
14
0
26 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot
  Policy Imitation
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
Massimiliano Patacchiola
Mingfei Sun
Katja Hofmann
Richard Turner
OffRL
29
1
0
23 Jun 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual
  Reinforcement Learning
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng
Xiyao Wang
Yanchao Sun
Shuang Ma
Jieyu Zhao
Huazhe Xu
Hal Daumé
Furong Huang
43
36
0
22 Jun 2023
MP3: Movement Primitive-Based (Re-)Planning Policy
MP3: Movement Primitive-Based (Re-)Planning Policy
Fabian Otto
Hongyi Zhou
Onur Celik
Ge Li
Rudolf Lioutikov
Gerhard Neumann
29
5
0
22 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
41
17
0
20 Jun 2023
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