Abstract
Parameterized Poker Squares (PPS) is a generalization of Poker Squares where players must adapt to a point system supplied at play time and thus dynamically compute highly-varied strategies. Herein, we detail the top three performing AI players in a PPS research competition, all three of which make various use of Monte Carlo techniques.
Cite
CITATION STYLE
Neller, T. W., Yang, Z., Messinger, C. M., Anton, C., Castro-Wunsch, K., Maga, W., … Langley, C. (2016). Monte carlo approaches to parameterized poker squares. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10068 LNCS, pp. 22–23). Springer Verlag. https://doi.org/10.1007/978-3-319-50935-8_3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
