Monte Carlo Approaches to Parameterized Poker Squares
Zuozhi Yang '17, Gettysburg College
Colin M. Messinger '17, Gettysburg College
The paper summarized a variety of Monte Carlo approaches employed in the top three performing entries to the Parameterized Poker Squares NSG Challenge competition. In all cases AI players benefited from real-time machine learning and various Monte Carlo game-tree search techniques.
Neller, Todd W.; Yang, Zuozhi; Messinger, Colin M.; Anton, Calin; Castro-Wunsch, Karo; Maga, William; Bogaerts, Steven; Arrington, Robert; and Langely, Clay, "Monte Carlo Approaches to Parameterized Poker Squares" (2016). Computer Science Faculty Publications. 35.