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Oscar Veliz

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2 papers

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AAAI Conference 2016 Conference Paper

Evaluating the Robustness of Game Theoretic Solutions When Using Abstraction

Oscar Veliz

Game theory is a tool for modeling multi-agent decision problems and has been used to analyze strategies in domains such as poker, security, and trading agents. One method for solving very large games is to use abstraction techniques to shrink the game by removing detail, solve the reduced game, and then translate the solution back to the original game. We present a methodology for evaluating the robustness of different gametheoretic solution concepts to the errors introduced by the abstraction process. We present an initial empirical study of the robustness of several solution methods when using abstracted games.

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AAAI Conference 2016 Conference Paper

Teaching Automated Strategic Reasoning Using Capstone Tournaments

Oscar Veliz
Marcus Gutierrez
Christopher Kiekintveld

Courses in artiﬁcial intelligence and related topics often cover methods for reasoning under uncertainty, decision theory, and game theory. However, these methods can seem very abstract when students ﬁrst encounter them, and they are often taught using simple toy problems. Our goal is to help students to operationalize this knowledge by designing sophisticated autonomous agents that must make complex decisions in games that capture their interest. We describe a tournament-based pedagogy that we have used in two different courses with two different games based on current research topics in artiﬁcial intelligence to engage students in designing agents that use strategic reasoning. Many students ﬁnd this structure very engaging, and we ﬁnd that students develop a deeper understanding of the abstract strategic reasoning concepts introduced in the courses.

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