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Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning

Hachiya, Hirotaka and Akiyama, Takayuki and Sugiyama, Masashi and Peters, Jan (2009):
Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning.
In: Neural Networks, 22 (10), pp. 1399-1410. ISSN 0893-6080,
DOI: 10.1016/j.neunet.2009.01.002,
[Article]

Item Type: Article
Erschienen: 2009
Creators: Hachiya, Hirotaka and Akiyama, Takayuki and Sugiyama, Masashi and Peters, Jan
Title: Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning
Language: English
Journal or Publication Title: Neural Networks
Journal volume: 22
Number: 10
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Intelligent Autonomous Systems
Date Deposited: 29 Oct 2018 10:15
DOI: 10.1016/j.neunet.2009.01.002
Official URL: http://robot-learning.de/uploads/Publications/hachiya-Adapti...
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