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Two-player Knock 'em Down (2008)

Abstract
We analyze the two-player game of Knock 'em Down, asymptotically as the number of tokens to be knocked down becomes large. Optimal play requires mixed strategies with deviations of order √n from the naïve law-of-large numbers allocation. Upon rescaling by √n and sending n→∞, we show that optimal play's random deviations always have bounded support and have marginal distributions that are absolutely continuous with respect to Lebesgue measure.

Publication details
Download http://www.math.washington.edu/~ejpecp/viewarticle.php?id=1778
Publisher Institute of Mathematical Statistics
Contributors National Science Foundation
Repository Electronic Journal of Probability (United States)
Keywords Primary: 91A60; Secondary: 91A05; Knock 'em Down; game theory; Nash equilibrium
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