Creating an SVM to play strong poker

Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04

Volumn , Issue , 2004, Pages 150-155

  Blank, Todd ^a   Soh, Leen Kiat ^a   Scott, Stephen ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; INTERNET; ONLINE SYSTEMS; PROJECT MANAGEMENT; REGRESSION ANALYSIS; RESEARCH;

FEATURE SPACE; POKER GAME; RESEARCH PROJECTS; SUPPORT VECTOR MACHINES (SVM);

LEARNING SYSTEMS;

EID: 21244464327     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. D. Sklansky, The Theory of Poker, Two Plus Two Publishing. 1999.
2. V. Vapnik, S. Golowich, and A. J. Smola, "Support vector method for function approximation, regression estimation, and signal processing," Advances in Neural Information Processing Systems 9, 1997.
3. D. Billings, A. Davidson, J. Schaeffer, and D. Szafron, The Challenge of Poker, 2002.
4. Poki's Poker Academy, http://www.pokipoker.com/
5. D. Billings, N. Burch, A. Davidson, R. Holte, J. Schaeffer, T. Schauenberg, and D. Szafron, "Approximating Game-Theoretic Optimal Strategies for Full-scale Poker," Proceedings of the 2003 International Joint Conference on Artificial Intelligence, pp. 661-668. 2003.
6. D. Sklanksy, and M. Malmuth, Hold'em Poker for Advanced Players, Two Plus Two Publishing, 2003
7. light http://svmlight.joachims.org/, 2004.
8. A. Davidson, D. Billings, J. Schaeffer, and D. Szafron, "Improved Opponent Modeling in Poker" Proceedings of the 2000 International Conference on Artificial Intelligence, pp. 1467-1473, 2000.
9. D. Billings, L. Peña, J. Schaeffer, D. Szafron, "Using Probabilistic Knowledge and Simulation to play Poker," Proceedings of the Sixteenth National Conference of the American Association for Artificial Intelligence, pp. 697-703, 1999.