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Second Order Optimality in Markov and Semi-Markov Decision Processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00517875" target="_blank" >RIV/67985556:_____/19:00517875 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Second Order Optimality in Markov and Semi-Markov Decision Processes

  • Original language description

    Semi-Markov decision processes can be considered as an extension of discrete- and continuous-time Markov reward models. Unfortunately, traditional optimality criteria as long-run average reward per time may be quite insufficient to characterize the problem from the point of a decision maker. To this end it may be preferable if not necessary to select more sophisticated criteria that also reflect variability-risk features of the problem. Perhaps the best known approaches stem from the classical work of Markowitz on mean-variance selection rules, i.e. we optimize the weighted sum of average or total reward and its variance. Such approach has been already studied for very special classes of semi-Markov decision processes, in particular, for Markov decision processes in discrete - and continuous-time setting. In this note these approaches are summarized and possible extensions to the wider class of semi-Markov decision processes is discussed. Attention is mostly restricted to uncontrolled models in which the chain is aperiodic and contains a single class of recurrent states. Considering finite time horizons, explicit formulas for the first and second moments of total reward as well as for the corresponding variance are produced.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA18-02739S" target="_blank" >GA18-02739S: Stochastic Optimization in Economic Processes</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Conference Proceedings. 37th International Conference on Mathematical Methods in Economics 2019

  • ISBN

    978-80-7394-760-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    338-343

  • Publisher name

    University of South Bohemia in České Budějovice, Faculty of Economics

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Sep 11, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article