Richard Klíma

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Game-theoretic analysis has emerged as an important method for making resource allocation decisions in both infrastructure protection and cyber security domains. However, static equilibrium models defined based on inputs from domain experts have weaknesses; they can be inaccurate , and they do not adapt over time as the situation (and adversary) evolves. In(More)
We introduce a model for border security resource allocation with repeated interactions between attackers and defenders. The defender must learn the optimal resource allocation strategy based on historical apprehension data, balancing exploration and exploitation in the policy. We experiment with several solution methods for this online learning problem(More)
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