Jakub Černý

TL;DR: In this article, a modified version of the Extensive Form Game (EFG) was used to compare Machiavellian individuals with those high in narcissism and psychopathy in a strategic resource control game.

TL;DR: It is shown that using machines of a restricted size in EFGs can both reduce the theoretical complexity of computing some solution concepts and their computation when restricted to small classes of machines as well as bring new practical algorithms that compute near-optimal equilibria considering only a fraction of strategy space.

TL;DR: This paper analyzes and proposes scalable algorithms for computing effective and robust strategies against a quantal opponent in normal-form and extensive-form games and identifies a CFR variant that exploits the bounded opponents better than the previously used variants while being less exploitable by the worst-case perfectly-rational opponent.

TL;DR: This work ran a behavioral study in which humans act as cyber attackers, and try to learn the (possibly randomized) defense strategy for assigning nodes in the network to be decoy targets over many interactions, and evaluated five different models for predicting how the human players learn to play against these defender strategies.