Gambling and Rényi Divergence

Cédric Bleuler, A. Lapidoth, Christoph Pfister
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引用次数: 3

Abstract

For gambling on horses, a one-parameter family of utility functions is proposed, which contains Kelly’s logarithmic criterion and the expected-return criterion as special cases. The strategies that maximize the utility function are derived, and the connection to the Rényi divergence is shown. Optimal strategies are also derived when the gambler has some side information; this setting leads to a novel conditional Rényi divergence.
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赌博和分裂
针对赌马问题,提出了一种单参数效用函数族,其中凯利对数准则和期望收益准则作为特例。导出了最大化效用函数的策略,并显示了与rsamnyi分歧的联系。当赌徒有一些附带信息时,也可以得到最优策略;这一设置导致了一种新的条件r尼分歧。
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