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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"

26 / 626 papers shown
Title
WordCraft: An Environment for Benchmarking Commonsense Agents
WordCraft: An Environment for Benchmarking Commonsense Agents
Minqi Jiang
Jelena Luketina
Nantas Nardelli
Pasquale Minervini
Juil Sock
Shimon Whiteson
Tim Rocktaschel
LLMAGOffRL
128
25
0
17 Jul 2020
Goal-Aware Prediction: Learning to Model What Matters
Goal-Aware Prediction: Learning to Model What MattersInternational Conference on Machine Learning (ICML), 2020
Suraj Nair
Silvio Savarese
Chelsea Finn
154
69
0
14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without ForgettingNeural Information Processing Systems (NeurIPS), 2020
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
163
42
0
14 Jul 2020
Meta-Learning Requires Meta-Augmentation
Meta-Learning Requires Meta-AugmentationNeural Information Processing Systems (NeurIPS), 2020
Janarthanan Rajendran
A. Irpan
Eric Jang
175
104
0
10 Jul 2020
Adaptive Procedural Task Generation for Hard-Exploration Problems
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
274
30
0
01 Jul 2020
dm_control: Software and Tasks for Continuous Control
dm_control: Software and Tasks for Continuous Control
Yuval Tassa
S. Tunyasuvunakool
Alistair Muldal
Yotam Doron
Piotr Trochim
...
Steven Bohez
J. Merel
Tom Erez
Timothy Lillicrap
N. Heess
LM&Ro
422
461
0
22 Jun 2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie
James Harrison
Chelsea Finn
CLLOffRL
200
67
0
18 Jun 2020
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven
  Exploration
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Jin Zhang
Jianhao Wang
Hao Hu
Tong Chen
Yingfeng Chen
Changjie Fan
Chongjie Zhang
OffRL
192
30
0
15 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Safa Alver
Doina Precup
OffRL
180
8
0
12 Jun 2020
Meta-Model-Based Meta-Policy Optimization
Meta-Model-Based Meta-Policy OptimizationAsian Conference on Machine Learning (ACML), 2020
Takuya Hiraoka
Takahisa Imagawa
Voot Tangkaratt
Takayuki Osa
Takashi Onishi
Yoshimasa Tsuruoka
OffRL
359
8
0
04 Jun 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from PixelsInternational Conference on Learning Representations (ICLR), 2020
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
412
868
0
28 Apr 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
641
2,344
0
11 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft ModularizationNeural Information Processing Systems (NeurIPS), 2020
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
195
214
0
30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A
  Survey
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
Chongzhen Zhang
Jianrui Wang
Gary G. Yen
Chaoqiang Zhao
Qiyu Sun
Yang Tang
Feng Qian
Jürgen Kurths
AAML
287
21
0
29 Mar 2020
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through
  Context
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through ContextIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Wenyu Zhang
Skyler Seto
Devesh K. Jha
237
5
0
26 Mar 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution
  Correction
DisCor: Corrective Feedback in Reinforcement Learning via Distribution CorrectionNeural Information Processing Systems (NeurIPS), 2020
Aviral Kumar
Abhishek Gupta
Sergey Levine
OffRL
163
115
0
16 Mar 2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to
  Continual Learning
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia
Pau Rodríguez López
O. Ostapenko
Fabrice Normandin
Min Lin
...
I. Laradji
Irina Rish
Alexande Lacoste
David Vazquez
Laurent Charlin
CLLKELM
195
68
0
12 Mar 2020
Meta-learning curiosity algorithms
Meta-learning curiosity algorithmsInternational Conference on Learning Representations (ICLR), 2020
Ferran Alet
Martin Schneider
Tomas Lozano-Perez
L. Kaelbling
221
67
0
11 Mar 2020
Generalized Hindsight for Reinforcement Learning
Generalized Hindsight for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020
Alexander C. Li
Lerrel Pinto
Pieter Abbeel
129
75
0
26 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy
  Improvement
Rewriting History with Inverse RL: Hindsight Inference for Policy ImprovementNeural Information Processing Systems (NeurIPS), 2020
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
217
91
0
25 Feb 2020
Curriculum in Gradient-Based Meta-Reinforcement Learning
Curriculum in Gradient-Based Meta-Reinforcement Learning
Bhairav Mehta
T. Deleu
Sharath Chandra Raparthy
C. Pal
Liam Paull
170
20
0
19 Feb 2020
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement
  Learning
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2020
Alireza Fallah
Kristian Georgiev
Aryan Mokhtari
Asuman Ozdaglar
180
29
0
12 Feb 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2020
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
661
1,483
0
19 Jan 2020
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Leveraging Procedural Generation to Benchmark Reinforcement LearningInternational Conference on Machine Learning (ICML), 2019
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
296
636
0
03 Dec 2019
IKEA Furniture Assembly Environment for Long-Horizon Complex
  Manipulation Tasks
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2019
Youngwoon Lee
E. Hu
Zhengyu Yang
Alexander Yin
Joseph J. Lim
279
140
0
17 Nov 2019
RLBench: The Robot Learning Benchmark & Learning Environment
RLBench: The Robot Learning Benchmark & Learning EnvironmentIEEE Robotics and Automation Letters (RA-L), 2019
Stephen James
Z. Ma
David Rovick Arrojo
Andrew J. Davison
SSLVLMOffRL
270
745
0
26 Sep 2019
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