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1806.04640
Cited By
Unsupervised Meta-Learning for Reinforcement Learning
12 June 2018
Abhishek Gupta
Benjamin Eysenbach
Chelsea Finn
Sergey Levine
SSL
OffRL
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Papers citing
"Unsupervised Meta-Learning for Reinforcement Learning"
29 / 29 papers shown
Title
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
A Survey of Meta-Reinforcement Learning
Jacob Beck
Risto Vuorio
E. Liu
Zheng Xiong
L. Zintgraf
Chelsea Finn
Shimon Whiteson
OOD
OffRL
37
122
0
19 Jan 2023
A Mixture of Surprises for Unsupervised Reinforcement Learning
Andrew Zhao
Matthieu Lin
Yangguang Li
Yong-Jin Liu
Gao Huang
28
13
0
13 Oct 2022
Distributionally Adaptive Meta Reinforcement Learning
Anurag Ajay
Abhishek Gupta
Dibya Ghosh
Sergey Levine
Pulkit Agrawal
OOD
29
14
0
06 Oct 2022
Physical Derivatives: Computing policy gradients by physical forward-propagation
Arash Mehrjou
Ashkan Soleymani
Stefan Bauer
Bernhard Schölkopf
38
0
0
15 Jan 2022
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
28
16
0
08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer
Pieter Abbeel
Joseph E. Gonzalez
OffRL
21
18
0
02 Dec 2021
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning
Rujikorn Charakorn
P. Manoonpong
Nat Dilokthanakul
33
5
0
05 Nov 2021
Robust Dynamic Bus Control: A Distributional Multi-agent Reinforcement Learning Approach
Changyin Sun
Lijun Sun
16
6
0
02 Nov 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Trapit Bansal
K. Gunasekaran
Tong Wang
Tsendsuren Munkhdalai
Andrew McCallum
SSL
OOD
51
19
0
02 Nov 2021
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations
Aishwarya Mandyam
Andrew Jones
Jiayu Yao
K. Laudanski
Barbara E. Engelhardt
OffRL
18
0
0
06 Oct 2021
Offline Meta-Reinforcement Learning with Online Self-Supervision
Vitchyr H. Pong
Ashvin Nair
Laura M. Smith
Catherine Huang
Sergey Levine
OffRL
32
66
0
08 Jul 2021
Discovering Generalizable Skills via Automated Generation of Diverse Tasks
Kuan Fang
Yuke Zhu
Silvio Savarese
Li Fei-Fei
48
6
0
26 Jun 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
Steven Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRL
OnRL
35
25
0
24 Feb 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer
Zohreh Raziei
Mohsen Moghaddam
26
25
0
27 Nov 2020
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar
Aviral Kumar
Sergey Levine
Chelsea Finn
OffRL
16
90
0
27 Oct 2020
Probabilistic Active Meta-Learning
Jean Kaddour
Steindór Sæmundsson
M. Deisenroth
22
34
0
17 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti
Lorenzo Pratissoli
Marcello Restelli
11
19
0
09 Jul 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning
Shuncheng He
Jianzhun Shao
Xiangyang Ji
26
7
0
07 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic computing
Yujie Wu
R. Zhao
Jun Zhu
F. Chen
Mingkun Xu
...
Hao Zheng
Jing Pei
Youhui Zhang
Mingguo Zhao
Luping Shi
32
86
0
05 Jun 2020
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
31
20
0
29 Mar 2020
How Should an Agent Practice?
Janarthanan Rajendran
Richard L. Lewis
Vivek Veeriah
Honglak Lee
Satinder Singh
26
9
0
15 Dec 2019
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
Juncheng Li
Qing Guo
Siliang Tang
Haizhou Shi
Fei Wu
Yueting Zhuang
William Yang Wang
SSL
43
68
0
18 Nov 2019
Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah
Matteo Hessel
Zhongwen Xu
Richard L. Lewis
Janarthanan Rajendran
Junhyuk Oh
H. V. Hasselt
David Silver
Satinder Singh
LLMAG
14
86
0
10 Sep 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
30
269
0
08 Mar 2019
ProMP: Proximal Meta-Policy Search
Jonas Rothfuss
Dennis Lee
I. Clavera
Tamim Asfour
Pieter Abbeel
27
209
0
16 Oct 2018
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
28
229
0
04 Oct 2018
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas L. Griffiths
26
68
0
12 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
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