Abstract
An Eight Ball pool strategy algorithm with look-ahead is presented. The strategy uses a probabilistically evaluated game search tree to discover the best shot to attempt at each turn. Performance results of the strategy algorithm from a simulated tournament are presented. Players looking further ahead in the search tree performed better against their shallower-searching competitors, at the expense of larger execution time. The advantage of a deeper search tree was magnified for players with greater shooting precision.
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Leckie, W., Greenspan, M. (2007). Monte-Carlo Methods in Pool Strategy Game Trees. In: van den Herik, H.J., Ciancarini, P., Donkers, H.H.L.M.(. (eds) Computers and Games. CG 2006. Lecture Notes in Computer Science, vol 4630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75538-8_22
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DOI: https://doi.org/10.1007/978-3-540-75538-8_22
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