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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

Conference on Robot Learning (CoRL), 2019
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 / 631 papers shown
Title
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model
  Feedback
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model FeedbackInternational Conference on Machine Learning (ICML), 2024
Yufei Wang
Zhanyi Sun
Jesse Zhang
Zhou Xian
Erdem Biyik
David Held
Zackory M. Erickson
VLM
289
103
0
06 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Siyue Tao
Junqiao Zhao
Pheng-Ann Heng
OffRL
385
16
0
04 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2024
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRLOnRL
575
90
0
29 Jan 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
DittoGym: Learning to Control Soft Shape-Shifting RobotsInternational Conference on Learning Representations (ICLR), 2024
Suning Huang
Boyuan Chen
Huazhe Xu
Vincent Sitzmann
241
8
0
24 Jan 2024
CLIP feature-based randomized control using images and text for multiple
  tasks and robots
CLIP feature-based randomized control using images and text for multiple tasks and robots
Kazuki Shibata
Hideki Deguchi
Shun Taguchi
247
3
0
18 Jan 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable
  Markov Decision Processes
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision ProcessesInternational Conference on Learning Representations (ICLR), 2024
David Ireland
Giovanni Montana
255
5
0
16 Jan 2024
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual
  Learning in Decision Making
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
William Yue
Bo Liu
Peter Stone
153
6
0
04 Jan 2024
Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset
Robo360: A 3D Omnispective Multi-Material Robotic Manipulation Dataset
Litian Liang
Liuyu Bian
Caiwei Xiao
Jialin Zhang
Linghao Chen
Isabella Liu
Fanbo Xiang
Zhiao Huang
Hao Su
154
5
0
09 Dec 2023
Using Curiosity for an Even Representation of Tasks in Continual Offline
  Reinforcement Learning
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement LearningCognitive Computation (Cogn. Comput.), 2023
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLLOffRL
301
0
0
05 Dec 2023
Robot Learning in the Era of Foundation Models: A Survey
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao
Jiahang Liu
Zhipeng Wang
Yanmin Zhou
Yong Qi
Qian Cheng
Bin He
Shuo Jiang
AI4CELM&Ro
388
47
0
24 Nov 2023
EduGym: An Environment and Notebook Suite for Reinforcement Learning
  Education
EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland
Matthias Muller-Brockhausen
Zhao Yang
Andrius Bernatavicius
Koen Ponse
Tom Kouwenhoven
Andreas Sauter
Michiel van der Meer
Bram M. Renting
Aske Plaat
OffRL
355
2
0
17 Nov 2023
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained RepresentationsIEEE International Conference on Robotics and Automation (ICRA), 2023
Wei-Di Chang
F. Hogan
David Meger
Gregory Dudek
Gregory Dudek
257
3
0
15 Nov 2023
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization
Jared Markowitz
Edward W. Staley
OffRL
184
4
0
10 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations
Xuzhe Dang
Stefan Edelkamp
418
7
0
06 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust
  Manipulation?
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?Conference on Robot Learning (CoRL), 2023
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OODSSL
300
34
0
03 Nov 2023
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning
  via Generative Simulation
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative SimulationInternational Conference on Machine Learning (ICML), 2023
Yufei Wang
Zhou Xian
Feng Chen
Tsun-Hsuan Wang
Yian Wang
Katerina Fragkiadaki
Zackory M. Erickson
David Held
Chuang Gan
LM&Ro
416
169
0
02 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement
  Learning
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Siming Lan
Rui Zhang
Qi Yi
Jiaming Guo
Shaohui Peng
...
Zidong Du
Xingui Hu
Xishan Zhang
Ling Li
Yunji Chen
264
15
0
02 Nov 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio
  Minimization
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio MinimizationInternational Conference on Learning Representations (ICLR), 2023
Guowei Xu
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Zhecheng Yuan
...
Shuzhen Li
Yanjie Ze
Hal Daumé
Furong Huang
Huazhe Xu
238
42
0
30 Oct 2023
Conditionally Combining Robot Skills using Large Language Models
Conditionally Combining Robot Skills using Large Language ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023
K.R. Zentner
Ryan Julian
Brian Ichter
Gaurav Sukhatme
208
2
0
25 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby
Linxi Fan
Yuke Zhu
OffRLLM&Ro
300
44
0
15 Oct 2023
Learning to Act from Actionless Videos through Dense Correspondences
Learning to Act from Actionless Videos through Dense CorrespondencesInternational Conference on Learning Representations (ICLR), 2023
Po-Chen Ko
Jiayuan Mao
Yilun Du
Shao-Hua Sun
Josh Tenenbaum
275
145
0
12 Oct 2023
RoboHive: A Unified Framework for Robot Learning
RoboHive: A Unified Framework for Robot LearningNeural Information Processing Systems (NeurIPS), 2023
Vikash Kumar
Rutav Shah
Gaoyue Zhou
Vincent Moens
Vittorio Caggiano
Jay Vakil
Abhishek Gupta
Aravind Rajeswaran
177
39
0
10 Oct 2023
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Blending Imitation and Reinforcement Learning for Robust Policy ImprovementInternational Conference on Learning Representations (ICLR), 2023
Xuefeng Liu
Takuma Yoneda
Rick L. Stevens
Matthew R. Walter
Yuxin Chen
298
15
0
03 Oct 2023
Robot Fleet Learning via Policy Merging
Robot Fleet Learning via Policy MergingInternational Conference on Learning Representations (ICLR), 2023
Lirui Wang
Kaiqing Zhang
Allan Zhou
Max Simchowitz
Russ Tedrake
426
5
0
02 Oct 2023
GenSim: Generating Robotic Simulation Tasks via Large Language Models
GenSim: Generating Robotic Simulation Tasks via Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Lirui Wang
Yiyang Ling
Zhecheng Yuan
Mohit Shridhar
Chen Bao
Yuzhe Qin
Bailin Wang
Huazhe Xu
Xiaolong Wang
LM&Ro
292
119
0
02 Oct 2023
gym-saturation: Gymnasium environments for saturation provers (System
  description)
gym-saturation: Gymnasium environments for saturation provers (System description)International Conference on Theorem Proving with Analytic Tableaux and Related Methods (TABLEAUX), 2023
Boris Shminke
189
1
0
16 Sep 2023
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Projected Task-Specific Layers for Multi-Task Reinforcement LearningIEEE International Conference on Robotics and Automation (ICRA), 2023
Josselin Somerville Roberts
Julia Di
124
1
0
15 Sep 2023
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural
  Feature Fields
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature FieldsConference on Robot Learning (CoRL), 2023
Yanjie Ze
Ge Yan
Yueh-hua Wu
Annabella Macaluso
Yuying Ge
Jianglong Ye
Nicklas Hansen
Li Erran Li
Xinyu Wang
DiffMAI4CE
280
127
0
31 Aug 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Foundational Policy Acquisition via Multitask Learning for Motor Skill GenerationIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Satoshi Yamamori
Jun Morimoto
258
2
0
31 Aug 2023
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models
  and Methods
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and MethodsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ya Jing
Xuelin Zhu
Xingbin Liu
Qie Sima
Taozheng Yang
Yunhai Feng
Tao Kong
LM&Ro
167
18
0
07 Aug 2023
Contrastive Example-Based Control
Contrastive Example-Based ControlConference on Learning for Dynamics & Control (L4DC), 2023
Kyle Hatch
Benjamin Eysenbach
Rafael Rafailov
Tianhe Yu
Ruslan Salakhutdinov
Sergey Levine
Chelsea Finn
OffRL
278
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
347
3
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
200
4
0
21 Jul 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
Reparameterized Policy Learning for Multimodal Trajectory OptimizationInternational Conference on Machine Learning (ICML), 2023
Zhiao Huang
Litian Liang
Z. Ling
Xuanlin Li
Chuang Gan
H. Su
171
15
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
Xuetao Zhang
320
1
0
19 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
262
9
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 ScoresIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Shukai Liu
Chenming Wu
Ying Li
Liang Zhang
249
1
0
11 Jul 2023
Decomposing the Generalization Gap in Imitation Learning for Visual
  Robotic Manipulation
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2023
Annie Xie
Lisa Lee
Ted Xiao
Chelsea Finn
232
88
0
07 Jul 2023
Causal Reinforcement Learning: A Survey
Causal Reinforcement Learning: A Survey
Zhi-Hong Deng
Jing Jiang
Guodong Long
Chen Zhang
CMLLRM
290
32
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-ShotIEEE International Conference on Robotics and Automation (ICRA), 2023
Haoshu Fang
Hongjie Fang
Zhenyu Tang
Jirong Liu
Chenxi Wang
Junbo Wang
Haoyi Zhu
Cewu Lu
336
135
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 RulesIEEE Access (IEEE Access), 2023
Eric Pulick
Vladimir Menkov
Yonatan Dov Mintz
Paul B. Kantor
Vicki M. Bier
OffRL
94
2
0
30 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
188
1
0
23 Jun 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
SPRINT: Scalable Policy Pre-Training via Language Instruction RelabelingIEEE International Conference on Robotics and Automation (ICRA), 2023
Jesse Zhang
Karl Pertsch
Jiahui Zhang
Joseph J. Lim
LM&Ro
415
22
0
20 Jun 2023
HomeRobot: Open-Vocabulary Mobile Manipulation
HomeRobot: Open-Vocabulary Mobile ManipulationConference on Robot Learning (CoRL), 2023
Sriram Yenamandra
A. Ramachandran
Karmesh Yadav
Austin S. Wang
Mukul Khanna
...
Devendra Singh Chaplot
Dhruv Batra
Roozbeh Mottaghi
Yonatan Bisk
Chris Paxton
LM&Ro
433
110
0
20 Jun 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient
  Reinforcement Learning
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Hojoon Lee
Hanseul Cho
Hyunseung Kim
Daehoon Gwak
Joonkee Kim
Jaegul Choo
Se-Young Yun
Chulhee Yun
OffRL
316
39
0
19 Jun 2023
Meta-Personalizing Vision-Language Models to Find Named Instances in
  Video
Meta-Personalizing Vision-Language Models to Find Named Instances in VideoComputer Vision and Pattern Recognition (CVPR), 2023
Chun-Hsiao Yeh
Bryan C. Russell
Josef Sivic
Fabian Caba Heilbron
Simon Jenni
VLMMLLM
223
14
0
16 Jun 2023
$\pi2\text{vec}$: Policy Representations with Successor Features
π2vec\pi2\text{vec}π2vec: Policy Representations with Successor FeaturesInternational Conference on Learning Representations (ICLR), 2023
Gianluca Scarpellini
Ksenia Konyushkova
Claudio Fantacci
T. Paine
Yutian Chen
Misha Denil
OffRL
186
1
0
16 Jun 2023
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large
  Vision-Language Models
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Peng Xu
Wenqi Shao
Kaipeng Zhang
Shiyang Feng
Shuo Liu
Meng Lei
Fanqing Meng
Siyuan Huang
Yu Qiao
Ping Luo
ELMMLLM
273
227
0
15 Jun 2023
FAMO: Fast Adaptive Multitask Optimization
FAMO: Fast Adaptive Multitask OptimizationNeural Information Processing Systems (NeurIPS), 2023
B. Liu
Yihao Feng
Peter Stone
Qian Liu
454
68
0
06 Jun 2023
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward
  Learning for Robotic Manipulation
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic ManipulationInternational Conference on Machine Learning (ICML), 2023
Runze Liu
Yali Du
Fengshuo Bai
Jiafei Lyu
Xiu Li
314
9
0
06 Jun 2023
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