Monotonically improving limit-optimal strategies in finite state decision processes

T.P. Hill, J. Wal, van der

Research output: Book/ReportReportAcademic

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In every finite-state leavable gambling problem and in every finite-state Markov decision process with discounted, negative or positive reward criteria there exists a Markov strategy which is monotonically improving and optimal in the limit along every history. An example is given to show that for the positive and gambling cases such strategies cannot be constructed by simply switching to a "better" action or gamble at each successive return to a state. Key words and phrases: gambling problem, Markov decision process, strategy, stationary strategy, monotonically improving strategy, limit-optimal strategy.
Original languageEnglish
Place of PublicationEindhoven
PublisherTechnische Hogeschool Eindhoven
Number of pages24
Publication statusPublished - 1983

Publication series

NameMemorandum COSOR
ISSN (Print)0926-4493


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