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Generation of Games for Opponent Model Differentiation
Attackers in the real world are predominantly human actors, and the protection methods often incorporate opponent models to improve the performance when facing humans.
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms
Recent advancements in algorithms for sequential decision-making under imperfect information have shown remarkable success in large games such as limit- and no-limit poker.
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games
This paper aims to analyze and propose scalable algorithms for computing effective and robust strategies against a quantal opponent in normal-form and extensive-form games.
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