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Information-theoretic Task Selection for Meta-Reinforcement Learning

Information-theoretic Task Selection for Meta-Reinforcement Learning

2 November 2020
Ricardo Luna Gutierrez
Matteo Leonetti
ArXivPDFHTML

Papers citing "Information-theoretic Task Selection for Meta-Reinforcement Learning"

5 / 5 papers shown
Title
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
Donglin Zhan
Leonardo F. Toso
James Anderson
99
1
0
04 Feb 2025
A Survey of Meta-Reinforcement Learning
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
Meta-learning with an Adaptive Task Scheduler
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao
Yu-Xiang Wang
Ying Wei
P. Zhao
M. Mahdavi
Defu Lian
Chelsea Finn
OOD
30
45
0
26 Oct 2021
Offline Meta-Reinforcement Learning with Advantage Weighting
Offline Meta-Reinforcement Learning with Advantage Weighting
E. Mitchell
Rafael Rafailov
Xue Bin Peng
Sergey Levine
Chelsea Finn
OffRL
33
103
0
13 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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