Learning in games using the imprecise Dirichlet model

DOI10.1016/j.ijar.2008.03.012zbMath1186.91044OpenAlexW2038073135MaRDI QIDQ962850

Erik Quaeghebeur, Gert De Cooman

Publication date: 7 April 2010

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://biblio.ugent.be/publication/495971

zbMATH Keywords

decision makinglearningfictitious playtwo-player gamesimprecise Dirichlet modelimprecise probability models

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) 2-person games (91A05) Rationality and learning in game theory (91A26) Decision theory for games (91A35)

Related Items

Imprecise probabilities for representing ignorance about a parameter, Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks

Cites Work

• Consistency and cautious fictitious play
• Statistical decision theory and Bayesian analysis. 2nd ed
• Learning mixed equilibria
• An iterative method of solving a game
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