After introducing the jeopardy card game Fowl Play, we present equations for optimal two-player play, describe their solution with a variant of value iteration, and visualize the optimal play policy. Next, we discuss the approximation of optimal play and note that neural network learning can achieve a win rate within 1 % of optimal play yet with a 5-orders-of-magnitude reduction in memory requirements. Optimal komi (i.e., compensation points) are computed for the two-player games of Pig and Fowl Play. Finally, we make use of such komi computations in order to redesign Fowl Play for two-player fairness, creating the game Red Light. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Neller, T. W., Malec, M., Presser, C. G. M., & Jacobs, F. (2014). Optimal, approximately optimal, and fair play of the fowl play card game. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8427 LNCS, pp. 233–243). Springer Verlag. https://doi.org/10.1007/978-3-319-09165-5_20
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