|
|
Artificial intelligence for Texas Holdem poker game
Moravčík, Matej ; Petříčková, Zuzana (advisor) ; Sýkora, Ondřej (referee)
Recently there has been a great expansion of poker. This includes live games, as well as games on the internet. For beginners, it may be difficult to find opponents skilled enough and thus improve their gaming performance without deposit of their own funds. Using of artificial intelligence seems as good solution for the problem, but there are only few suitable programs available. This thesis describes the overall design and development of such an application, specially designed for tournament variant of Texas Hold'em poker. Most attention is devoted to the artificial intelligence. There are two main approaches discussed - approximate Nash equilibrium and the use of expert system. Emphasis is placed on the first option. The main contribution of this thesis is detailed description and comparison of three algorithms for calculating the approximation of Nash equilibrium. Two of them are original heuristics algorithms, that take advantage of specific structure of poker game. Algorithms have been implemented and their properties have been empirically evaluated. The final result is a full-featured application designed for end users. It simulates poker game and provides a powerful artificial intelligence with attractive graphical user interface.
|
|
|
Poker
Jelínek, Roman ; Staněk, Jakub (advisor) ; Slavík, Antonín (referee)
At the beginning of this thesis some necessary information about Texas Hold'em will be remembered - game rules, the probability of winning at the flop and turn. The next chapter is about calculating expected value and about successability of players in the long run. In the final chapter we will focus at basic strategies that players can choose. The reader will know which terms influence the choice of an adequate strategy and why. The main message is to show that only mathematical skills - that a good player should have - are not enough. More important are skills associated with the poker itself. Poker skills are mainly thought of: adjusting the strategy by position, working with the stack, choosing the right amount of bets, matching the opponent's typology, and so on. Overall, the thesis is mainly focused on didactics. There is an effort to bring poker to the wider community, with real examples. Poker players should be satisfied, because there are many useful tips to help them improve. Keywords: Texas Hold'em rules, the probability of winning, expected value, game strategy.
|
|
|
Artificial intelligence for Texas Holdem poker game
Moravčík, Matej ; Petříčková, Zuzana (advisor) ; Sýkora, Ondřej (referee)
Recently there has been a great expansion of poker. This includes live games, as well as games on the internet. For beginners, it may be difficult to find opponents skilled enough and thus improve their gaming performance without deposit of their own funds. Using of artificial intelligence seems as good solution for the problem, but there are only few suitable programs available. This thesis describes the overall design and development of such an application, specially designed for tournament variant of Texas Hold'em poker. Most attention is devoted to the artificial intelligence. There are two main approaches discussed - approximate Nash equilibrium and the use of expert system. Emphasis is placed on the first option. The main contribution of this thesis is detailed description and comparison of three algorithms for calculating the approximation of Nash equilibrium. Two of them are original heuristics algorithms, that take advantage of specific structure of poker game. Algorithms have been implemented and their properties have been empirically evaluated. The final result is a full-featured application designed for end users. It simulates poker game and provides a powerful artificial intelligence with attractive graphical user interface.
|
guest ::
