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Exact Decomposition Approaches for Markov Decision Processes : A Survey
Joint Authors
Abbad, Mohamed
Daoui, Cherki
Tkiouat, Mohamed
Source
Advances in Operations Research
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-07-07
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Information Technology and Computer Science
Abstract EN
As classical methods are intractable for solving Markov decision processes (MDPs) requiring a large state space, decomposition and aggregation techniques are very useful to cope with large problems.
These techniques are in general a special case of the classic Divide-and-Conquer framework to split a large, unwieldy problem into smaller components and solving the parts in order to construct the global solution.
This paper reviews most of decomposition approaches encountered in the associated literature over the past two decades, weighing their pros and cons.
We consider several categories of MDPs (average, discounted, and weighted MDPs), and we present briefly a variety of methodologies to find or approximate optimal strategies.
American Psychological Association (APA)
Daoui, Cherki& Abbad, Mohamed& Tkiouat, Mohamed. 2010. Exact Decomposition Approaches for Markov Decision Processes : A Survey. Advances in Operations Research،Vol. 2010, no. 2010, pp.1-19.
https://search.emarefa.net/detail/BIM-489008
Modern Language Association (MLA)
Daoui, Cherki…[et al.]. Exact Decomposition Approaches for Markov Decision Processes : A Survey. Advances in Operations Research No. 2010 (2010), pp.1-19.
https://search.emarefa.net/detail/BIM-489008
American Medical Association (AMA)
Daoui, Cherki& Abbad, Mohamed& Tkiouat, Mohamed. Exact Decomposition Approaches for Markov Decision Processes : A Survey. Advances in Operations Research. 2010. Vol. 2010, no. 2010, pp.1-19.
https://search.emarefa.net/detail/BIM-489008
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-489008