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» An Exploitative Monte-Carlo Poker Agent
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KI
2009
Springer
13 years 11 months ago
An Exploitative Monte-Carlo Poker Agent
Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Pa...
ACG
2009
Springer
13 years 11 months ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
ICML
2008
IEEE
14 years 5 months ago
Strategy evaluation in extensive games with importance sampling
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
ATAL
2009
Springer
13 years 11 months ago
A demonstration of the Polaris poker system
Poker games provide a useful testbed for modern Artificial Intelligence techniques. Unlike many classical game domains such as chess and checkers, poker includes elements of impe...
Michael H. Bowling, Nicholas Abou Risk, Nolan Bard...
AAAI
1998
13 years 6 months ago
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 m...
Darse Billings, Denis Papp, Jonathan Schaeffer, Du...