ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.10897
  4. Cited By
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
ArXivPDFHTML

Papers citing "Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning"

50 / 801 papers shown
Title
TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation
TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation
Hangyu Li
Qin Zhao
Haoran Xu
Xinyu Jiang
Qingwei Ben
...
Jia Zeng
Hanqing Wang
Bo Dai
Junting Dong
Jiangmiao Pang
7
0
0
19 May 2025
Meta-World+: An Improved, Standardized, RL Benchmark
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean
Evangelos Chatzaroulas
Luc McCutcheon
Frank Röder
Tianhe Yu
...
Ryan Julian
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
OffRL
14
0
0
16 May 2025
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Object-Centric Representations Improve Policy Generalization in Robot Manipulation
Alexandre Chapin
Bruno Machado
Emmanuel Dellandrea
Liming Chen
OCL
14
0
0
16 May 2025
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Conditioning Matters: Training Diffusion Policies is Faster Than You Think
Zibin Dong
Yicheng Liu
Yinchuan Li
Hang Zhao
Jianye Hao
19
0
0
16 May 2025
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
Jiahui Zhang
Yusen Luo
Abrar Anwar
S. Sontakke
Joseph J. Lim
Jesse Thomason
Erdem Biyik
Jesse Zhang
OffRL
LM&Ro
17
0
0
16 May 2025
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts
Jing-Cheng Pang
Kaiyuan Li
Yixuan Wang
Si-Hang Yang
Shengyi Jiang
Yang Yu
OffRL
LLMAG
LM&Ro
LRM
19
0
0
15 May 2025
EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation
EmbodiedMAE: A Unified 3D Multi-Modal Representation for Robot Manipulation
Zibin Dong
Fei Ni
Yifu Yuan
Yinchuan Li
Jianye Hao
26
0
0
15 May 2025
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
Shivin Dass
Alaa Khaddaj
Logan Engstrom
Aleksander Madry
Andrew Ilyas
Roberto Martín-Martín
26
0
0
14 May 2025
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
George Andriopoulos
Soyuj Jung Basnet
Juan Guevara
Li Guo
Keith Ross
30
0
0
14 May 2025
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation
Enyu Zhao
Vedant Raval
Hejia Zhang
Jiageng Mao
Zeyu Shangguan
Stefanos Nikolaidis
Yishuo Wang
Daniel Seita
LM&Ro
CoGe
48
0
0
14 May 2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang
Zhen Zhang
OffRL
CML
29
0
0
13 May 2025
H$^{\mathbf{3}}$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
H3^{\mathbf{3}}3DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
Yiyang Lu
Yufeng Tian
Zhecheng Yuan
Xinyu Wang
Pu Hua
Zhengrong Xue
Huazhe Xu
31
0
0
12 May 2025
Pixel Motion as Universal Representation for Robot Control
Pixel Motion as Universal Representation for Robot Control
Kanchana Ranasinghe
Xiang Li
Cristina Mata
J. Park
Michael S. Ryoo
VGen
32
0
0
12 May 2025
Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria
Constant-Memory Strategies in Stochastic Games: Best Responses and Equilibria
Fengming Zhu
Fangzhen Lin
29
0
0
11 May 2025
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
J. Li
Yunbo Wang
Xiaokang Yang
OffRL
48
0
0
10 May 2025
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
Shuaiyi Huang
Mara Levy
Anubhav Gupta
Daniel Ekpo
Ruijie Zheng
Abhinav Shrivastava
28
0
0
09 May 2025
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
Anthony Liang
Pavel Czempin
Matthew Hong
Yutai Zhou
Erdem Biyik
Stephen Tu
47
0
0
08 May 2025
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Abdulaziz Almuzairee
Rohan Patil
Dwait Bhatt
Henrik I. Christensen
34
0
0
07 May 2025
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Taehyun Cho
Seokhun Ju
Seungyub Han
Dohyeong Kim
Kyungjae Lee
Jungwoo Lee
OffRL
29
0
0
06 May 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Shangzhe Li
Zhiao Huang
Hao Su
66
0
0
04 May 2025
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
Lik Hang Kenny Wong
Xueyang Kang
Kaixin Bai
Jianwei Zhang
56
0
0
01 May 2025
A Survey of Interactive Generative Video
A Survey of Interactive Generative Video
Jiwen Yu
Yiran Qin
Haoxuan Che
Quande Liu
Xinyu Wang
Pengfei Wan
Di Zhang
Kun Gai
Hao Chen
Xihui Liu
VGen
65
0
0
30 Apr 2025
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
Zishen Wan
Jiayi Qian
Yuhang Du
Jason J. Jabbour
Yilun Du
Yang Katie Zhao
A. Raychowdhury
Tushar Krishna
Vijay Janapa Reddi
LM&Ro
91
0
0
26 Apr 2025
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Haoran Geng
Feishi Wang
Songlin Wei
Y. Li
Bangjun Wang
...
Hao Dong
Siyuan Huang
Yue Wang
Jitendra Malik
Pieter Abbeel
85
4
0
26 Apr 2025
Solving New Tasks by Adapting Internet Video Knowledge
Solving New Tasks by Adapting Internet Video Knowledge
Calvin Luo
Zilai Zeng
Yilun Du
Chen Sun
27
1
0
21 Apr 2025
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision
Shilin Zhang
Zican Hu
Wenhao Wu
Xinyi Xie
Jianxiang Tang
Chunlin Chen
Daoyi Dong
Yu Cheng
Zhenhong Sun
Zhi Wang
OffRL
139
0
0
21 Apr 2025
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
Jinwoo Choi
Seung-Woo Seo
OffRL
29
0
0
21 Apr 2025
Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction
Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction
Wenke Xia
Ruoxuan Feng
Dong Wang
Di Hu
32
0
0
20 Apr 2025
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
Zhengtong Xu
Zichen Miao
Qiang Qiu
Zhe Zhang
Yu She
60
0
0
18 Apr 2025
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
Fikrican Özgür
René Zurbrugg
Suryansh Kumar
35
0
0
15 Apr 2025
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
Daniel Marta
Simon Holk
Miguel Vasco
Jens Lundell
Timon Homberger
F. L. Busch
Olov Andersson
Danica Kragic
Iolanda Leite
38
0
0
14 Apr 2025
Diffusion Models for Robotic Manipulation: A Survey
Diffusion Models for Robotic Manipulation: A Survey
Rosa Wolf
Yitian Shi
Sheng Liu
Rania Rayyes
51
1
0
11 Apr 2025
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
Zen Kit Heng
Zimeng Zhao
Tianhao Wu
Yuanfei Wang
Mingdong Wu
Yangang Wang
Hao Dong
35
0
0
10 Apr 2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
Jiahua Lan
Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
28
0
0
09 Apr 2025
MAPLE: Encoding Dexterous Robotic Manipulation Priors Learned From Egocentric Videos
MAPLE: Encoding Dexterous Robotic Manipulation Priors Learned From Egocentric Videos
Alexey Gavryushin
Xi Wang
Robert J. S. Malate
Chenyu Yang
Xiaojun Jia
Shubh Goel
Davide Liconti
René Zurbrugg
Robert K. Katzschmann
Marc Pollefeys
39
1
0
08 Apr 2025
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
Yuxuan Li
Ning Yang
Stephen Xia
OffRL
33
0
0
08 Apr 2025
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Rakesh Nadig
Vamanan Arulchelvan
Rahul Bera
Taha Shahroodi
Gagandeep Singh
Mohammad Sadrosadati
Jisung Park
O. Mutlu
Onur Mutlu
68
0
0
26 Mar 2025
Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
Reinforcement Learning in Switching Non-Stationary Markov Decision Processes: Algorithms and Convergence Analysis
Mohsen Amiri
Sindri Magnússon
51
0
0
24 Mar 2025
Denoising-based Contractive Imitation Learning
Denoising-based Contractive Imitation Learning
Macheng Shen
Jishen Peng
Zefang Huang
58
0
0
20 Mar 2025
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
Anukriti Singh
Amisha Bhaskar
Peihong Yu
Souradip Chakraborty
Ruthwik Dasyam
Amrit Singh Bedi
Pratap Tokekar
63
0
0
18 Mar 2025
Dense Policy: Bidirectional Autoregressive Learning of Actions
Dense Policy: Bidirectional Autoregressive Learning of Actions
Yue Su
Xinyu Zhan
Hongjie Fang
Han Xue
Hao-Shu Fang
Yongqian Li
Cewu Lu
Lixin Yang
VGen
57
3
0
17 Mar 2025
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
Peihong Yu
Amisha Bhaskar
Anukriti Singh
Zahiruddin Mahammad
Pratap Tokekar
61
1
0
14 Mar 2025
Injecting Imbalance Sensitivity for Multi-Task Learning
Zhipeng Zhou
Liu Liu
Peilin Zhao
Wei Gong
58
0
0
11 Mar 2025
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
Xin Wen
Bingchen Zhao
Yilun Chen
Jiangmiao Pang
Xiaojuan Qi
LM&Ro
46
0
0
10 Mar 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng
Haiyan Yin
Jianda Chen
Terence Ng
Yew-Soon Ong
Ivor Tsang
CLL
149
0
0
07 Mar 2025
Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
Hyungkyu Kang
Min-hwan Oh
OffRL
47
0
0
07 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
LRM
44
1
0
07 Mar 2025
RA-DP: Rapid Adaptive Diffusion Policy for Training-Free High-frequency Robotics Replanning
Xi Ye
Rui Heng Yang
Jun Jin
Y. K. Li
Amir Rasouli
53
0
0
06 Mar 2025
Boosting Offline Optimizers with Surrogate Sensitivity
Manh Cuong Dao
Phi Le Nguyen
Thao Nguyen Truong
Trong Nghia Hoang
OffRL
57
0
0
06 Mar 2025
VLA Model-Expert Collaboration for Bi-directional Manipulation Learning
Tian-Yu Xiang
Ao-Qun Jin
Xiao-Hu Zhou
Mei-Jiang Gui
Xiao-Liang Xie
...
Shuang-Yi Wang
Sheng-Bin Duang
Si-Cheng Wang
Zheng Lei
Z. Hou
58
1
0
06 Mar 2025
1234...151617
Next