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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
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
Changyeon Kim
Minho Heo
Doohyun Lee
Jinwoo Shin
Honglak Lee
Joseph J. Lim
Kimin Lee
39
0
0
28 Feb 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OOD
OffRL
36
1
0
27 Feb 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge
Michael Lanier
Anindya Sarkar
Bengisu Guresti
Yevgeniy Vorobeychik
Chongjie Zhang
42
0
0
26 Feb 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning
Jaehyeon Son
Soochan Lee
Gunhee Kim
OffRL
72
1
0
26 Feb 2025
DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
Zhengrong Xue
Shuying Deng
Zhenyang Chen
Yixuan Wang
Zhecheng Yuan
Huazhe Xu
41
5
0
24 Feb 2025
BOSS: Benchmark for Observation Space Shift in Long-Horizon Task
BOSS: Benchmark for Observation Space Shift in Long-Horizon Task
Yue Yang
Linfeng Zhao
Mingyu Ding
Gedas Bertasius
D. Szafir
75
0
0
24 Feb 2025
Yes, Q-learning Helps Offline In-Context RL
Yes, Q-learning Helps Offline In-Context RL
Denis Tarasov
Alexander Nikulin
Ilya Zisman
Albina Klepach
Andrei Polubarov
Nikita Lyubaykin
Alexander Derevyagin
Igor Kiselev
Vladislav Kurenkov
OffRL
OnRL
153
0
0
24 Feb 2025
MILE: Model-based Intervention Learning
MILE: Model-based Intervention Learning
Yigit Korkmaz
Erdem Bıyık
86
1
0
21 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied
Thomas Adler
Vihang Patil
M. Beck
Korbinian Poppel
Johannes Brandstetter
G. Klambauer
Razvan Pascanu
Sepp Hochreiter
75
4
0
21 Feb 2025
InstructRobot: A Model-Free Framework for Mapping Natural Language Instructions into Robot Motion
InstructRobot: A Model-Free Framework for Mapping Natural Language Instructions into Robot Motion
Iury Cleveston
Alana C. Santana
P. Costa
Ricardo Ribeiro Gudwin
A. S. Simões
Esther L. Colombini
LM&Ro
74
0
0
18 Feb 2025
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control
Dom Huh
P. Mohapatra
81
1
0
16 Feb 2025
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Egor Cherepanov
Nikita Kachaev
A. Kovalev
Aleksandr I. Panov
OffRL
41
0
0
14 Feb 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Abrar Anwar
Rohan Gupta
Zain Merchant
Sayan Ghosh
Willie Neiswanger
Jesse Thomason
OffRL
67
1
0
14 Feb 2025
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
Angel Villar-Corrales
Sven Behnke
78
3
0
11 Feb 2025
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization
Xuefeng Liu
Songhao Jiang
Siyu Chen
Zhuoran Yang
Yuxin Chen
Ian T. Foster
Rick L. Stevens
LM&MA
OffRL
53
0
0
11 Feb 2025
Skill Expansion and Composition in Parameter Space
Skill Expansion and Composition in Parameter Space
Tenglong Liu
J. Li
Yinan Zheng
Haoyi Niu
Yixing Lan
Xin Xu
Xianyuan Zhan
58
4
0
09 Feb 2025
Imitation Learning from a Single Temporally Misaligned Video
William Huey
Huaxiaoyue Wang
Anne Wu
Yoav Artzi
Sanjiban Choudhury
AI4TS
60
0
0
08 Feb 2025
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning
Udita Ghosh
Dripta S. Raychaudhuri
Jiachen Li
Konstantinos Karydis
A. Roy-Chowdhury
VLM
55
0
0
03 Feb 2025
Learning Fused State Representations for Control from Multi-View Observations
Learning Fused State Representations for Control from Multi-View Observations
Zeyu Wang
Yao Li
Xin Li
Hongyu Zang
Romain Laroche
Riashat Islam
OffRL
54
0
0
03 Feb 2025
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications
Wataru Hatanaka
R. Yamashina
Takamitsu Matsubara
105
0
0
31 Jan 2025
Episodic Novelty Through Temporal Distance
Y. Jiang
Qihan Liu
Yiqin Yang
Xiaoteng Ma
Dianyu Zhong
...
Jun Yang
Bin Liang
Bo Xu
Chongjie Zhang
Qianchuan Zhao
OffRL
30
0
0
28 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan
Yutong He
Fahim Tajwar
Wen-Tse Chen
Ruslan Salakhutdinov
Jeff Schneider
OffRL
AI4CE
99
0
0
22 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Baijiong Lin
Xi Victoria Lin
Han Zhao
Qingfu Zhang
James T. Kwok
75
2
0
19 Jan 2025
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI
Fangwei Zhong
Kui Wu
Churan Wang
Hao Chen
Hai Ci
Zhoujun Li
Yizhou Wang
VGen
38
0
0
31 Dec 2024
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene
  Interaction Learning via Human Mimicking
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Yun-Hai Liu
Bowen Yang
Licheng Zhong
He Wang
Li Yi
37
5
0
23 Dec 2024
Online Preference-based Reinforcement Learning with Self-augmented
  Feedback from Large Language Model
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
Songjun Tu
Jingbo Sun
Qichao Zhang
Xiangyuan Lan
Dongbin Zhao
75
1
0
22 Dec 2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
77
0
0
19 Dec 2024
Multi-Task Reinforcement Learning for Quadrotors
Multi-Task Reinforcement Learning for Quadrotors
Jiaxu Xing
Ismail Geles
Yunlong Song
Elie Aljalbout
Davide Scaramuzza
77
8
0
17 Dec 2024
Equivariant Action Sampling for Reinforcement Learning and Planning
Equivariant Action Sampling for Reinforcement Learning and Planning
Linfeng Zhao
Owen Howell
Xupeng Zhu
Jung Yeon Park
Zhewen Zhang
Robin Walters
Lawson L. S. Wong
96
2
0
16 Dec 2024
Efficient Policy Adaptation with Contrastive Prompt Ensemble for
  Embodied Agents
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
Wonje Choi
Woo Kyung Kim
SeungHyun Kim
Honguk Woo
74
8
0
16 Dec 2024
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted
  Behaviors
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Fengshuo Bai
Runze Liu
Yali Du
Ying Wen
Yaodong Yang
AAML
83
2
0
14 Dec 2024
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
D. Meger
Doina Precup
CLL
78
2
0
10 Dec 2024
RoboMM: All-in-One Multimodal Large Model for Robotic Manipulation
RoboMM: All-in-One Multimodal Large Model for Robotic Manipulation
Feng Yan
Fanfan Liu
Liming Zheng
Yufeng Zhong
Yiyang Huang
Zechao Guan
Chengjian Feng
Lin Ma
82
2
0
10 Dec 2024
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy
  Generalization with Global and Adaptive Guidance
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance
Zhe Wang
Haozhu Wang
Yanjun Qi
OffRL
76
0
0
01 Dec 2024
Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for
  Robust 3D Robotic Manipulation
Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation
Yueru Jia
Jiaming Liu
Sixiang Chen
Chenyang Gu
Z. Wang
...
Lily Lee
Pengwei Wang
Zhongyuan Wang
Renrui Zhang
Shanghang Zhang
89
11
0
27 Nov 2024
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised
  Online Refinement
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
Tewodros Ayalew
Xiao Zhang
Kevin Yuanbo Wu
Tianchong Jiang
Michael Maire
Matthew R. Walter
OffRL
72
1
0
26 Nov 2024
Metacognition for Unknown Situations and Environments (MUSE)
Metacognition for Unknown Situations and Environments (MUSE)
Rodolfo Valiente
Praveen K. Pilly
69
0
0
20 Nov 2024
AMaze: An intuitive benchmark generator for fast prototyping of
  generalizable agents
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents
Kevin Godin-Dubois
Karine Miras
Anna V. Kononova
71
0
0
20 Nov 2024
Continual Task Learning through Adaptive Policy Self-Composition
Shengchao Hu
Yuhang Zhou
Ziqing Fan
Jifeng Hu
Li Shen
Ya-Qin Zhang
Dacheng Tao
OffRL
69
0
0
18 Nov 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby
Justin Sasek
Samyak Parajuli
Daniel Adebi
Amy Zhang
Yuke Zhu
OffRL
26
2
0
17 Nov 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay
Feng Chen
Fuguang Han
Cong Guan
Lei Yuan
Zhilong Zhang
Yang Yu
Zongzhang Zhang
25
0
0
16 Nov 2024
Learning Generalizable 3D Manipulation With 10 Demonstrations
Learning Generalizable 3D Manipulation With 10 Demonstrations
Yu Ren
Yang Cong
Ronghan Chen
Jiahao Long
SSL
47
1
0
15 Nov 2024
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for
  Effective Robot Manipulation
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation
Youpeng Wen
Junfan Lin
Y. X. Zhu
J. Han
Hang Xu
Shen Zhao
Xiaodan Liang
VGen
DiffM
43
2
0
14 Nov 2024
ClevrSkills: Compositional Language and Visual Reasoning in Robotics
ClevrSkills: Compositional Language and Visual Reasoning in Robotics
Sanjay Haresh
Daniel Dijkman
Apratim Bhattacharyya
Roland Memisevic
CoGe
LRM
37
1
0
13 Nov 2024
Grounding Video Models to Actions through Goal Conditioned Exploration
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo
Yilun Du
LM&Ro
VGen
85
1
0
11 Nov 2024
State Chrono Representation for Enhancing Generalization in
  Reinforcement Learning
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen
Wen Zheng Terence Ng
Zichen Chen
Sinno Jialin Pan
Tianwei Zhang
OffRL
35
0
0
09 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting
  Diversity
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales
Stefanos Nikolaidis
AI4CE
29
0
0
07 Nov 2024
Problem Space Transformations for Generalisation in Behavioural Cloning
Problem Space Transformations for Generalisation in Behavioural Cloning
Kiran Doshi
Marco Bagatella
Stelian Coros
33
0
0
06 Nov 2024
Pre-trained Visual Dynamics Representations for Efficient Policy
  Learning
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
Hao Luo
Bohan Zhou
Zongqing Lu
30
1
0
05 Nov 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
Ilya Zisman
Alexander Nikulin
Andrei Polubarov
Nikita Lyubaykin
Vladislav Kurenkov
Andrei Polubarov
Igor Kiselev
Vladislav Kurenkov
OffRL
50
1
0
04 Nov 2024
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