About: Suboptimal and Pareto optimal solutions for variance penalized Markov decision chains.     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • We investigate how the mean variance selection rules can work in the Markovian decision models. We adapt notions and notations used in Markovian decision processes and in contrast to the classical models we assume that instead of the long run average expected return we consider more sophisticated optimality criteria taking into account also the variance of the total (long run) reward. Attention is focused on finding suboptimal and Pareto optimal solutions to the variance penalized Markov decision chains.
  • We investigate how the mean variance selection rules can work in the Markovian decision models. We adapt notions and notations used in Markovian decision processes and in contrast to the classical models we assume that instead of the long run average expected return we consider more sophisticated optimality criteria taking into account also the variance of the total (long run) reward. Attention is focused on finding suboptimal and Pareto optimal solutions to the variance penalized Markov decision chains. (en)
Title
  • Suboptimal and Pareto optimal solutions for variance penalized Markov decision chains.
  • Suboptimal and Pareto optimal solutions for variance penalized Markov decision chains. (en)
skos:prefLabel
  • Suboptimal and Pareto optimal solutions for variance penalized Markov decision chains.
  • Suboptimal and Pareto optimal solutions for variance penalized Markov decision chains. (en)
skos:notation
  • RIV/67985556:_____/00:16000211!RIV/2003/AV0/A16003/N
http://linked.open.../vavai/riv/strany
  • 123;129
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/98/0742), P(GA402/99/1136), Z(AV0Z1075907)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 728392
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/00:16000211
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • N/A (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AD0D147E9220]
http://linked.open...v/mistoKonaniAkce
  • Stará Lesná [SK]
http://linked.open...i/riv/mistoVydani
  • Bratislava
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Conference on Quantatative Methods in Economics. (Multiple Criteria Decision Making X).
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sladký, Karel
  • Sitař, M.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Economics
https://schema.org/isbn
  • 80-88715-93-8
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software