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Constrained Risk-Sensitive Markov Decision Chains

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    SYSNO ASEP0326474
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleConstrained Risk-Sensitive Markov Decision Chains
    TitleMarkovské rozhodovací procesy s omezeními za rizika
    Author(s) Sladký, Karel (UTIA-B) RID
    Source TitleOperations Research Proceedings 2008. - Berlin : Springer, 2009 / Fleischmann B. ; Borgwardt K. H. ; Klein R. ; Tuma A. - ISBN 978-3-642-00141-3
    Pagess. 363-368
    Number of pages6 s.
    ActionOperations Research 2008
    Event date03.09.2008-05.09.2008
    VEvent locationAugsburg
    CountryDE - Germany
    Event typeEUR
    Languageeng - English
    CountryDE - Germany
    KeywordsMarkov decision chains ; exponential utility functions ; constraints
    Subject RIVBB - Applied Statistics, Operational Research
    R&D ProjectsGA402/08/0107 GA ČR - Czech Science Foundation (CSF)
    GA402/07/1113 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationFor a classical Markov decision chain we suppose that the streams of transition rewards are evaluated by an exponential utility function. Attention is focused on the asymptotic properties of the expected utility and the corresponding certainty equivalents if the optimal values considered with respect to transition rewards must fulfill certain additional constraint on the expected utility or the certainty equivalent generated by different transition rewards. Our analysis is based policy iterations applied on a collection of nonnegative matrices arising in the recursive formulas for the growth of expected utilities.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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