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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 / 622 papers shown
Title
Deep Actor-Critics with Tight Risk Certificates
Deep Actor-Critics with Tight Risk Certificates
Bahareh Tasdighi
Manuel Haussmann
Yi-Shan Wu
A. Masegosa
M. Kandemir
UQCV
269
0
0
26 May 2025
TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
Yuhui Chen
Haoran Li
Zhennan Jiang
Haowei Wen
Dongbin Zhao
186
2
0
26 May 2025
WorldEval: World Model as Real-World Robot Policies Evaluator
WorldEval: World Model as Real-World Robot Policies Evaluator
Yaxuan Li
Yichen Zhu
Junjie Wen
Chaomin Shen
Yi Xu
OffRLVGen
165
13
0
25 May 2025
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement Learning
Nicolas Castanet
Olivier Sigaud
Sylvain Lamprier
OffRL
320
0
0
23 May 2025
AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation
AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation
Meenal Parakh
Alexandre Kirchmeyer
Beining Han
Jia Deng
LM&Ro
369
0
0
21 May 2025
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
Alejandro García-Castellanos
David R. Wessels
Nicky van den Berg
R. Duits
Daniël M. Pelt
Erik J. Bekkers
187
0
0
21 May 2025
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
Yunpeng Jiang
Jianshu Hu
Paul Weng
Yutong Ban
180
0
0
20 May 2025
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
359
3
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
186
5
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
Sumedh Anand Sontakke
Joseph J Lim
Jesse Thomason
Erdem Biyik
Jesse Zhang
OffRLLM&Ro
348
15
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
302
3
0
16 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
Yun Wang
Daniel Seita
LM&RoCoGe
270
10
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
George Andriopoulos
204
0
0
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Pixel Motion as Universal Representation for Robot Control
Pixel Motion as Universal Representation for Robot Control
Kanchana Ranasinghe
Xiang Li
Cristina Mata
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Michael Ryoo
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307
5
0
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H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
H3^33DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning
Yiyang Lu
Yufeng Tian
Zhecheng Yuan
Xinyu Wang
Pu Hua
Zhengrong Xue
Huazhe Xu
301
4
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
206
1
0
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Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
Minting Pan
Yitao Zheng
Jiajian Li
Yunbo Wang
Xiaokang Yang
OffRL
385
1
0
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CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
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Anthony Liang
Pavel Czempin
Matthew Hong
Yutai Zhou
Erdem Biyik
Stephen Tu
394
8
0
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Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
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Abdulaziz Almuzairee
Rohan Patil
Dwait Bhatt
Henrik I. Christensen
270
1
0
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Policy-labeled Preference Learning: Is Preference Enough for RLHF?
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Kyungjae Lee
Jungwoo Lee
OffRL
342
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0
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Haoran Geng
Feishi Wang
Songlin Wei
Yuchen Ren
Bangjun Wang
...
Hao Dong
Siyuan Huang
Yue Wang
Jitendra Malik
Pieter Abbeel
388
34
0
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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 AdjustmentInternational Conference on Learning Representations (ICLR), 2025
Jinwoo Choi
Seung-Woo Seo
OffRL
240
0
0
21 Apr 2025
Solving New Tasks by Adapting Internet Video Knowledge
Solving New Tasks by Adapting Internet Video KnowledgeInternational Conference on Learning Representations (ICLR), 2025
Calvin Luo
Zilai Zeng
Yilun Du
Chen Sun
184
8
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 CorrectionComputer Vision and Pattern Recognition (CVPR), 2025
Wenke Xia
Ruoxuan Feng
Dong Wang
Di Hu
211
8
0
20 Apr 2025
DiffOG: Differentiable Policy Trajectory Optimization with Generalizability
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Zichen Miao
Qiang Qiu
Zhe Zhang
Yu She
454
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0
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René Zurbrugg
Suryansh Kumar
233
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0
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Diffusion Models for Robotic Manipulation: A Survey
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Rosa Wolf
Yitian Shi
Sheng Liu
Rania Rayyes
379
22
0
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Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
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Sen Zhang
Haixia Pan
Ruijun Liu
Li Shen
Dacheng Tao
CLL
233
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0
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TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
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Yicheng Gao
Ning Yang
Stephen Xia
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294
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Vamanan Arulchelvan
Rahul Bera
Taha Shahroodi
Gagandeep Singh
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Onur Mutlu
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VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
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Erfaun Noorani
284
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Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
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Wenjun Zeng
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278
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