Bayes' bluff: Opponent modelling in poker

Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, UAI 2005

Volumn , Issue , 2005, Pages 550-558

  Southey, Finnegan ^a   Bowling, Michael ^a   Larson, Bryce ^a   Piccione, Carmelo ^a   Burch, Neil ^a   Billings, Darse ^a   Rayner, Chris ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

BAYESIAN PROBABILISTIC MODELS; DIRICHLET PRIOR; PARTIAL OBSERVABILITY; POKER GAME; PRIOR DISTRIBUTION; SUB-PROBLEMS; TEXAS HOLD'EM;

UNCERTAINTY ANALYSIS;

EID: 80053237361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. D. Billings, N. Burch, A. Davidson, R. Holte, J. Schaeffer, T. Schauenberg, and D. Szafron. Approximating game-theoretic optimal strategies for full-scale poker. In Eighteenth International Joint Conference on Artificial Intelligence (IJCAI'2003), 2003.
2. D. Billings, A. Davidson, J. Schaeffer, and D. Szafron. The challenge of poker. Artificial Intelligence, 134(1.2):201-240, 2002. (Pubitemid 34086584)
3. Darse Billings, Aaron Davidson, Terrance Schauenberg, Neil Burch, Michael Bowling, Rob Holte, Jonathan Schaeffer, and Duane Szafron. Game Tree Search with Adaptation in Stochastic Imperfect Information Games. In Nathan Netanyahu and Jaap van den Herik Yngvi Bjornsson, editor, Computers and Games'04. Springer-Verlag, 2004.
4. Fredrik A. Dahl. A reinforcement learning algorithm applied to simplihfied two-player Texas Hold'em poker. In Proceedings of the 12th European Conference on Machine Learning (ECML-01), pages 85-96, September 2001. (Pubitemid 33331060)
5. D. Koller and A. Pfeffer. Representations and solutions for game-theoretic problems. Artificial Intelligence, 94(1):167-215, 1997. (Pubitemid 127371450)
6. K. Korb, A. Nicholson, and N. Jitnah. Bayesian poker. In Uncertainty in Artificial Intelligence, pages 343-350, 1999.
7. H. W. Kuhn. A simplihfied two-person poker. Contributions to the Theory of Games, 1:97-103, 1950.
8. Stuart Russell and Peter Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall, Englewood Cliffs, NJ, 2003.
9. J. Shi and M. Littman. Abstraction models for game theoretic poker. In Computer Games'00. Springer-Verlag, 2001. To appear.
10. William R. Thompson. On the likelihood that one unknown probability exceeds another in view of the evidence of two samples. Biometrika, 25:285-294, 1933.