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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
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot
  Learning
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov
Kyle Hatch
Victor Kolev
John D. Martin
Mariano Phielipp
Chelsea Finn
OffRL
OnRL
22
10
0
06 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
32
4
0
04 Jan 2024
On Time-Indexing as Inductive Bias in Deep RL for Sequential
  Manipulation Tasks
On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation Tasks
M. N. Qureshi
Ben Eisner
David Held
OffRL
8
0
0
03 Jan 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement
  Learning with Dynamic Depth Routing
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He
Kai Li
Yifan Zang
Haobo Fu
Qiang Fu
Junliang Xing
Jian Cheng
MoE
41
5
0
22 Dec 2023
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Tao Huang
Guangqi Jiang
Yanjie Ze
Huazhe Xu
VGen
39
22
0
21 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
26
26
0
19 Dec 2023
SkillDiffuser: Interpretable Hierarchical Planning via Skill
  Abstractions in Diffusion-Based Task Execution
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
Zhixuan Liang
Yao Mu
Hengbo Ma
Masayoshi Tomizuka
Mingyu Ding
Ping Luo
33
37
0
18 Dec 2023
Rapid Open-World Adaptation by Adaptation Principles Learning
Rapid Open-World Adaptation by Adaptation Principles Learning
Cheng Xue
Ekaterina Nikonova
Peng Zhang
Jochen Renz
14
1
0
18 Dec 2023
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng
Andrey Kolobov
Dipendra Kumar Misra
Allen Nie
Adith Swaminathan
32
19
0
11 Dec 2023
Harmonic Mobile Manipulation
Harmonic Mobile Manipulation
Ruihan Yang
Yejin Kim
Aniruddha Kembhavi
Xiaolong Wang
Kiana Ehsani
38
13
0
11 Dec 2023
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
28
3
0
09 Dec 2023
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
Guaranteed Trust Region Optimization via Two-Phase KL Penalization
K.R. Zentner
Ujjwal Puri
Zhehui Huang
Gaurav Sukhatme
OffRL
24
0
0
08 Dec 2023
Rapid Motor Adaptation for Robotic Manipulator Arms
Rapid Motor Adaptation for Robotic Manipulator Arms
Yichao Liang
Kevin Ellis
Joao Henriques
35
4
0
07 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 Learning
Pathmanathan Pankayaraj
Natalia Díaz Rodríguez
Javier Del Ser
CLL
OffRL
38
0
0
05 Dec 2023
SAGE: Bridging Semantic and Actionable Parts for GEneralizable
  Manipulation of Articulated Objects
SAGE: Bridging Semantic and Actionable Parts for GEneralizable Manipulation of Articulated Objects
Haoran Geng
Songlin Wei
Congyue Deng
Bokui Shen
He Wang
Leonidas J. Guibas
LM&Ro
45
3
0
03 Dec 2023
Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied
  LMM-based Agent on Drones
Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones
Haoran Zhao
Fengxing Pan
Huqiuyue Ping
Yaoming Zhou
AI4CE
47
12
0
25 Nov 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
AI4CE
LM&Ro
33
27
0
24 Nov 2023
Provable Representation with Efficient Planning for Partial Observable
  Reinforcement Learning
Provable Representation with Efficient Planning for Partial Observable Reinforcement Learning
Hongming Zhang
Tongzheng Ren
Chenjun Xiao
Dale Schuurmans
Bo Dai
45
3
0
20 Nov 2023
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Ahmed Hendawy
Jan Peters
Carlo DÉramo
MoE
33
15
0
19 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
31
0
0
17 Nov 2023
Generalizable Imitation Learning Through Pre-Trained Representations
Generalizable Imitation Learning Through Pre-Trained Representations
Wei-Di Chang
F. Hogan
D. Meger
Gregory Dudek
Gregory Dudek
41
1
0
15 Nov 2023
Dream to Adapt: Meta Reinforcement Learning by Latent Context
  Imagination and MDP Imagination
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination
Lu Wen
Songan Zhang
E. Tseng
Huei Peng
VLM
OffRL
38
6
0
11 Nov 2023
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization
Clipped-Objective Policy Gradients for Pessimistic Policy Optimization
Jared Markowitz
Edward W. Staley
OffRL
16
2
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
37
4
0
06 Nov 2023
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion
Firas Al-Hafez
Guoping Zhao
Jan Peters
Davide Tateo
23
21
0
04 Nov 2023
Imitation Bootstrapped Reinforcement Learning
Imitation Bootstrapped Reinforcement Learning
Hengyuan Hu
Suvir Mirchandani
Dorsa Sadigh
41
24
0
03 Nov 2023
What Makes Pre-Trained Visual Representations Successful for Robust
  Manipulation?
What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
Kaylee Burns
Zach Witzel
Jubayer Ibn Hamid
Tianhe Yu
Chelsea Finn
Karol Hausman
OOD
SSL
32
23
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 Simulation
Yufei Wang
Zhou Xian
Feng Chen
Tsun-Hsuan Wang
Yian Wang
Katerina Fragkiadaki
Zackory M. Erickson
David Held
Chuang Gan
LM&Ro
41
99
0
02 Nov 2023
Offline Imitation from Observation via Primal Wasserstein State
  Occupancy Matching
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
Kai Yan
A. Schwing
Yu-xiong Wang
OffRL
29
0
0
02 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement
  Learning
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Siming Lan
Rui Zhang
Qi Yi
Jiaming Guo
Shaohui Peng
...
Zidong Du
Xingui Hu
Xishan Zhang
Ling Li
Yunji Chen
24
8
0
02 Nov 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio
  Minimization
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
Guowei Xu
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Zhecheng Yuan
...
Shuzhen Li
Yanjie Ze
Hal Daumé
Furong Huang
Huazhe Xu
46
28
0
30 Oct 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics
Michal Nauman
Marek Cygan
35
1
0
30 Oct 2023
Diversify & Conquer: Outcome-directed Curriculum RL via
  Out-of-Distribution Disagreement
Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
Daesol Cho
Seungjae Lee
H. J. Kim
OODD
29
0
0
30 Oct 2023
Unsupervised Behavior Extraction via Random Intent Priors
Unsupervised Behavior Extraction via Random Intent Priors
Haotian Hu
Yiqin Yang
Jianing Ye
Ziqing Mai
Chongjie Zhang
OffRL
40
6
0
28 Oct 2023
MimicGen: A Data Generation System for Scalable Robot Learning using
  Human Demonstrations
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar
Soroush Nasiriany
Bowen Wen
Iretiayo Akinola
Yashraj S. Narang
Linxi Fan
Yuke Zhu
Dieter Fox
LM&Ro
90
102
0
26 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
38
5
0
26 Oct 2023
Conditionally Combining Robot Skills using Large Language Models
Conditionally Combining Robot Skills using Large Language Models
K.R. Zentner
Ryan Julian
Brian Ichter
Gaurav Sukhatme
23
1
0
25 Oct 2023
TD-MPC2: Scalable, Robust World Models for Continuous Control
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen
Hao Su
Xiaolong Wang
MU
32
127
0
25 Oct 2023
Open-Ended Instructable Embodied Agents with Memory-Augmented Large
  Language Models
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
Gabriel H. Sarch
Yue Wu
Michael J. Tarr
Katerina Fragkiadaki
LM&Ro
LLMAG
27
19
0
23 Oct 2023
Enhancing Robotic Manipulation: Harnessing the Power of Multi-Task
  Reinforcement Learning and Single Life Reinforcement Learning in Meta-World
Enhancing Robotic Manipulation: Harnessing the Power of Multi-Task Reinforcement Learning and Single Life Reinforcement Learning in Meta-World
Ghadi Nehme
Ishan Sabane
Tejas Y. Deo
15
1
0
23 Oct 2023
Robust Visual Imitation Learning with Inverse Dynamics Representations
Robust Visual Imitation Learning with Inverse Dynamics Representations
Siyuan Li
Xun Wang
Rongchang Zuo
Kewu Sun
Lingfei Cui
Jishiyu Ding
Peng Liu
Zhe Ma
26
3
0
22 Oct 2023
Contrastive Preference Learning: Learning from Human Feedback without RL
Contrastive Preference Learning: Learning from Human Feedback without RL
Joey Hejna
Rafael Rafailov
Harshit S. Sikchi
Chelsea Finn
S. Niekum
W. B. Knox
Dorsa Sadigh
OffRL
27
50
0
20 Oct 2023
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Xavi Puig
Eric Undersander
Andrew Szot
Mikael Dallaire Cote
Tsung-Yen Yang
...
Singh Chaplot
Unnat Jain
Dhruv Batra
†. AksharaRai
†. RoozbehMottaghi
16
115
0
19 Oct 2023
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic
  Tabletop Manipulation
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation
Shengqiang Zhang
Philipp Wicke
Lutfi Kerem Senel
Luis F. C. Figueredo
Abdeldjallil Naceri
Sami Haddadin
Barbara Plank
Hinrich Schütze
LM&Ro
29
10
0
18 Oct 2023
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari
Mohan Kumar Srirama
Unnat Jain
Abhinav Gupta
SSL
34
36
0
13 Oct 2023
Learning to Act from Actionless Videos through Dense Correspondences
Learning to Act from Actionless Videos through Dense Correspondences
Po-Chen Ko
Jiayuan Mao
Yilun Du
Shao-Hua Sun
Josh Tenenbaum
30
76
0
12 Oct 2023
PolyTask: Learning Unified Policies through Behavior Distillation
PolyTask: Learning Unified Policies through Behavior Distillation
Siddhant Haldar
Lerrel Pinto
28
7
0
12 Oct 2023
GROOT: Learning to Follow Instructions by Watching Gameplay Videos
GROOT: Learning to Follow Instructions by Watching Gameplay Videos
Shaofei Cai
Bowei Zhang
Zihao Wang
Xiaojian Ma
Guy Van den Broeck
Yitao Liang
83
26
0
12 Oct 2023
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh Anand Sontakke
Jesse Zhang
Sébastien M. R. Arnold
Karl Pertsch
Erdem Biyik
Dorsa Sadigh
Chelsea Finn
Laurent Itti
OffRL
27
66
0
11 Oct 2023
Imitation Learning from Observation with Automatic Discount Scheduling
Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu
Weijun Dong
Yingdong Hu
Chuan Wen
Zhao-Heng Yin
Chongjie Zhang
Yang Gao
30
6
0
11 Oct 2023
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