Bc. Martin Horáček
Master's thesis
Risk-Aversion in Algorithms for Poker
Risk-Aversion in Algorithms for Poker
Abstract:
V práci se zabýváme averzí k riziku v kontextu pokeru. Uvádíme přehled přístupů k hraní her s omezeným rizikem. Zdůvodňujeme, proč je použití rizika bankrotu (risk of ruin) vhodné pro poker. Ukazujeme, že St. Petersburg paradox je možné vysvětlit pomocí rizika bankrotu. Dále popisujeme, jak je možné použít minimalizaci rizika bankrotu místo maximalizace průměrné výhry pro hledání optimální strategie …moreAbstract:
In this thesis, we study the risk-averse approach to poker. We review risk-averse concepts that can be used for playing games. We provide justifications for using the risk of ruin concept in the context of poker. We study the risk of ruin, and we use it to explain the classic St. Petersburg paradox. We then describe how to actively use the risk of ruin to guide changes in a player's strategy. We show …more
Language used: English
Date on which the thesis was submitted / produced: 17. 5. 2022
Identifier:
https://is.muni.cz/th/ydbvx/
Thesis defence
- Date of defence: 23. 6. 2022
- Supervisor: RNDr. Petr Novotný, Ph.D.
- Reader: doc. RNDr. Tomáš Brázdil, Ph.D.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence
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