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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
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Evolving Decomposed Plasticity Rules for Information-Bottlenecked
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Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning
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Hao Tian
Haoyi Xiong
Hua Wu
Jie Fu
Yang Cao
Yu Kang
Haifeng Wang
AI4CE
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Robust Predictable Control
Robust Predictable ControlNeural Information Processing Systems (NeurIPS), 2021
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Sergey Levine
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165
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07 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning
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Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Ruizhi Chen
Xiaoyu Wu
Yansong Pan
Kaizhao Yuan
Ling Li
...
Shaohui Peng
Xishan Zhang
Zidong Du
Qi Guo
Yunji Chen
OffRL
91
3
0
04 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&RoOffRL
275
181
0
02 Sep 2021
Meta-Reinforcement Learning in Broad and Non-Parametric Environments
Meta-Reinforcement Learning in Broad and Non-Parametric EnvironmentsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhenshan Bing
Lukas Knak
F. O. Morin
Kai-Qi Huang
Alois C. Knoll
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145
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0
08 Aug 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual,
  Interactive, and Ecological Environments
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological EnvironmentsConference on Robot Learning (CoRL), 2021
S. Srivastava
Chengshu Li
Michael Lingelbach
Roberto Martín-Martín
Fei Xia
...
Chenxi Liu
Silvio Savarese
H. Gweon
Jiajun Wu
Li Fei-Fei
LM&Ro
357
203
0
06 Aug 2021
What Matters in Learning from Offline Human Demonstrations for Robot
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Ajay Mandlekar
Danfei Xu
J. Wong
Soroush Nasiriany
Chen Wang
Rohun Kulkarni
Li Fei-Fei
Silvio Savarese
Yuke Zhu
Roberto Martín-Martín
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418
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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
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iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household TasksConference on Robot Learning (CoRL), 2021
Chengshu Li
Fei Xia
Roberto Martín-Martín
Michael Lingelbach
S. Srivastava
...
Karen Liu
H. Gweon
Jiajun Wu
Li Fei-Fei
Silvio Savarese
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473
280
0
06 Aug 2021
An Efficient Image-to-Image Translation HourGlass-based Architecture for
  Object Pushing Policy Learning
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
Marco Ewerton
Ángel Martínez-González
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Sequoia: A Software Framework to Unify Continual Learning Research
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Florian Golemo
O. Ostapenko
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Matthew D Riemer
...
Dominic Zhao
Timothée Lesort
Laurent Charlin
Irina Rish
Massimo Caccia
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373
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ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale
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Tongzhou Mu
Z. Ling
Fanbo Xiang
Derek Yang
Xuanlin Li
Stone Tao
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Zhiwei Jia
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434
173
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Autonomous Reinforcement Learning via Subgoal Curricula
Autonomous Reinforcement Learning via Subgoal CurriculaNeural Information Processing Systems (NeurIPS), 2021
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Chelsea Finn
169
32
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A Channel Coding Benchmark for Meta-Learning
A Channel Coding Benchmark for Meta-Learning
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Ondrej Bohdal
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Hyeji Kim
Da Li
Nicholas D. Lane
Timothy M. Hospedales
238
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0
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MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven
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MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Kevin Wenliang Li
Abhishek Gupta
Ashwin Reddy
Vitchyr H. Pong
Aurick Zhou
Justin Yu
Sergey Levine
UQCV
143
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15 Jul 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Offline Meta-Reinforcement Learning with Online Self-SupervisionInternational Conference on Machine Learning (ICML), 2021
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
320
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0
08 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning
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A. Lvovsky
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Management of Resource at the Network Edge for Federated Learning
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07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
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B. Cameron
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226
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Systematic Evaluation of Causal Discovery in Visual Model Based
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Nan Rosemary Ke
Aniket Didolkar
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Guillaume Lajoie
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Danilo Jimenez Rezende
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Michael C. Mozer
C. Pal
CML
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02 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse
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Kuan Fang
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Silvio Savarese
Li Fei-Fei
158
8
0
26 Jun 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
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Anusha Nagabandi
Kostas Daniilidis
Igor Mordatch
Sergey Levine
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277
42
0
24 Jun 2021
Unsupervised Learning of Visual 3D Keypoints for Control
Unsupervised Learning of Visual 3D Keypoints for ControlInternational Conference on Machine Learning (ICML), 2021
Boyuan Chen
Pieter Abbeel
Deepak Pathak
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14 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via
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PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-trainingInternational Conference on Machine Learning (ICML), 2021
Kimin Lee
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Pieter Abbeel
OffRL
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Lifetime policy reuse and the importance of task capacity
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03 Jun 2021
Procedural Content Generation: Better Benchmarks for Transfer
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Continual World: A Robotic Benchmark For Continual Reinforcement
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Continual World: A Robotic Benchmark For Continual Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
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Piotr Milo's
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Regret Minimization Experience Replay in Off-Policy Reinforcement
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Regret Minimization Experience Replay in Off-Policy Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
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Zhenghai Xue
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Yang Yu
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Learning a Skill-sequence-dependent Policy for Long-horizon Manipulation
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Context-Based Soft Actor Critic for Environments with Non-stationary
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Outcome-Driven Reinforcement Learning via Variational Inference
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GridToPix: Training Embodied Agents with Minimal Supervision
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Visual Room Rearrangement
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