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Erschienen in:
2003 | OriginalPaper | Buchkapitel
Tutorial: Learning Topics in Game-Theoretic Decision Making
verfasst von : Michael L. Littman
Erschienen in: Learning Theory and Kernel Machines
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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The tutorial will cover some topics of recent interest in AI and economics concerning design making in a computational game-theory framework. It will highlight areas in which computational learning theory has played a role and could play a greater role in the future. Covered areas include recent representational and algorithmic advances, stochastic games and reinforcement learning, no regret algorithms, and the role of various equilibrium concepts.