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Bottom-up learning of hierarchical models in a class of deterministic POMDP environments Cover

Bottom-up learning of hierarchical models in a class of deterministic POMDP environments

International Journal of Applied Mathematics and Computer Science
Volume 25 (2015): Issue 3 (September 2015)
By: Hideaki Itoh,  Hisao Fukumoto,  Hiroshi Wakuya and  Tatsuya Furukawa  
Open Access
|Sep 2015

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DOI: https://doi.org/10.1515/amcs-2015-0044 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 597 - 615
Submitted on: Apr 24, 2014
Published on: Sep 30, 2015
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
partially observable Markov decision processes,
hierarchical models,
bottom-up learning
Related subjects:
Mathematics,
Applied mathematics

© 2015 Hideaki Itoh, Hisao Fukumoto, Hiroshi Wakuya, Tatsuya Furukawa, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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