A Learning AI Algorithm for Poker with Embedded Opponent Modeling
نویسندگان
چکیده
منابع مشابه
Opponent Modeling in Poker
Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect knowledge, where multiple competing agents must deal with risk management, agent modeling, unreliable information and deception, much like decision-making applications in the real world. Agent modeling is one of the most difficult problems in decision-making applications and in poker it is essential...
متن کاملOpponent Modeling in Poker
In recent years much progress has been made on computer gameplay in games of complete information such as chess and go. Computers have surpassed the ability of top chess players and are well on their way to doing so at Go. Games of incomplete information, on the other hand, are far less studied. Despite significant financial incentives, computerized poker players still perform at a level well b...
متن کاملImproved Opponent Modeling in Poker
The game of poker has many properties that make it an interesting topic for arti cial intelligence (AI). It is a game of imperfect information, which relates to one of the most fundamental problems in computer science: how to handle knowledge that may be erroneous or incomplete. Poker is also one of the few games to be studied where deriving an accurate understanding of each opponent's style is...
متن کاملActive Sensing for Opponent Modeling in Poker
One approach to designing an intelligent agent capable of winning competitive games such as Texas hold’em poker is to use opponent modeling to learn about an opponent’s behavior, then exploit that knowledge to maximize long term winnings. However, opponent modeling can suffer from several problems, including slow convergence due to a lack of a priori knowledge, noisy or dynamic opponent behavio...
متن کاملBuilding a Computer Poker Agent with Emphasis on Opponent Modeling
In this thesis, we present a computer agent for the game of no-limit Texas Hold'em Poker for two players. Poker is a partially observable, stochastic, multi-agent, sequential game. This combination of characteristics makes it a very challenging game to master for both human and computer players. We explore this problem from an opponent modeling perspective, using data mining to build a database...
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ژورنال
عنوان ژورنال: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2010
ISSN: 1598-2645
DOI: 10.5391/ijfis.2010.10.3.170