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  • In this note we discussed some algorithmic procedures for finding optimal policies of Markov decision chains with respect to various mean variance optimality criteria. To this end, we present formulas for the growth rate and asymptotic behavior of the variance of total cumulative reward. Finally, algorithmic procedures of policy internation type for finding efficient policies with respect to various mean variance optimality criteria along with computational experience are discussed.
  • In this note we discussed some algorithmic procedures for finding optimal policies of Markov decision chains with respect to various mean variance optimality criteria. To this end, we present formulas for the growth rate and asymptotic behavior of the variance of total cumulative reward. Finally, algorithmic procedures of policy internation type for finding efficient policies with respect to various mean variance optimality criteria along with computational experience are discussed. (en)
  • V práci se diskutují algoritmické postupy pro nalezení optimálního řízení markovských rozhodovancích procesů vzhledem k různým typům průměrné časové optimality. Nejprve se uvádí vztahy pro míru růstu a asymptotické chování variance celkového kumulovaného výnosu. Dále jsou uvedeny algorithmické postupy typu %22iterace v prostoru řízení%22 pro nalezení eficientních řízení pro různá kriteria optimality typu střední hodnota-rozptyl. (cs)
Title
  • Algorithmic procedures for mean variance optimality in Markov decision chains
  • Algorithmic procedures for mean variance optimality in Markov decision chains (en)
  • Algoritmické postupy pro optimalitu typu střední hodnota-rozptyl v markovských rozhodovaních řetězcích. (cs)
skos:prefLabel
  • Algorithmic procedures for mean variance optimality in Markov decision chains
  • Algorithmic procedures for mean variance optimality in Markov decision chains (en)
  • Algoritmické postupy pro optimalitu typu střední hodnota-rozptyl v markovských rozhodovaních řetězcích. (cs)
skos:notation
  • RIV/67985556:_____/06:00040936!RIV07-AV0-67985556
http://linked.open.../vavai/riv/strany
  • 799;804
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/04/1294), P(GA402/05/0115), Z(AV0Z10750506)
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http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 464570
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/06:00040936
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Markov decision chains; mean-variance optimality; algorithmic procedures (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [126CE0E33644]
http://linked.open...v/mistoKonaniAkce
  • Bremen
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Operation Research Proceedings 2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sladký, Karel
  • Sitař, Milan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 3-540-32537-9
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