J. Schaeffer, D. Billings, L. Pena, D. Szafron, Learning to play strong poker, in: J. Frnkranz, M. Kubat (Eds.), Machines that Learn to Play Games, Nova Science Publishers, Huntington, NY, to appear. Home/Search Document Details and Download
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An Investigation, using Co-Evolution, to Evolve an Awari Player - Davis, Kendall (2002) (1 citation) (Correct)
....of perfect information, otherwise known as combinatorial games [9] These games are classified as two player games, with no hidden information, no chance moves, a restricted outcome (win, lose and draw) and with each player moving alternately. This is different to games such as poker [10] 11] [12], backgammon [13] 14] 15] 16] or bridge [17] 18] 19] 20] where there is hidden information, a chance element and, possibly, more than two players. A recent survey of computers and game playing [21] covers those games above, as well as others. In this work we look at a combinatorial ....
J. Schaeffer, D. Billings L. Pea, D. Szafron, "Learning to Play Strong Poker." In proceedings of the Sixteenth International Conference on Machine Learning (ICML-99), J. Stefan Institute, Slovenia (Invited Paper), 1999
Artificial Intelligence 134 (2002) 201--240 - The Challenge Of (2002) (165 citations) Self-citation (Schaeffer Billings Szafron) (Correct)
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J. Schaeffer, D. Billings, L. Pena, D. Szafron, Learning to play strong poker, in: J. Frnkranz, M. Kubat (Eds.), Machines that Learn to Play Games, Nova Science Publishers, Huntington, NY, to appear.
Probabilities and Simulations in Poker - Castillo (1999) (3 citations) Self-citation (Schae Duane) (Correct)
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Jonathan Schae er, Darse Billings, Lourdes Pe~na, and Duane Szafron. Learning to play strong poker. In ICML{99 Workshop on Machine Learning in Game Playing, 1999. In press.
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