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  • In this note we consider Markov decision chains with finite state space in discrete- and continuous-time setting for discounting and averaging optimality criteria. Connections between discounted and averaging optimality along with uniformization methods are employed for producing bounds on optimal discounted and average rewards.
  • In this note we consider Markov decision chains with finite state space in discrete- and continuous-time setting for discounting and averaging optimality criteria. Connections between discounted and averaging optimality along with uniformization methods are employed for producing bounds on optimal discounted and average rewards. (en)
Title
  • Markov decision chains in discrete- and continuous-time; a unified approach
  • Markov decision chains in discrete- and continuous-time; a unified approach (en)
skos:prefLabel
  • Markov decision chains in discrete- and continuous-time; a unified approach
  • Markov decision chains in discrete- and continuous-time; a unified approach (en)
skos:notation
  • RIV/67985556:_____/10:00348153!RIV11-GA0-67985556
http://linked.open...avai/riv/aktivita
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  • P(GA402/08/0107), P(GAP402/10/0956), P(GAP402/10/1610), Z(AV0Z10750506)
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  • 269723
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  • RIV/67985556:_____/10:00348153
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  • discrete-time and continuous-time Markov decision chains; discounted and averaging optimality; connections between discounted and averaging models; uniformization (en)
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http://linked.open...ontrolniKodProRIV
  • [F95E37CE1632]
http://linked.open...v/mistoKonaniAkce
  • Smolenice
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  • Bratislava, SR
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  • Quantitative Methods in Economics (Multiple Criteria Decision Making XV)
http://linked.open...in/vavai/riv/obor
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  • Sladký, Karel
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number of pages
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  • University of Economics, Bratislava
https://schema.org/isbn
  • 978-80-8078-364-8
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