Mean-Field-Type Game Theory I
Foundations and New Directions
Springer
ISBN 978-3-032-07026-5
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
100 s/w-Abbildungen, 25 Farbabbildungen.
Umfang: XX, 845 S.
Format (B x L): 15.5 x 23.5 cm
Verlag: Springer
ISBN: 978-3-032-07026-5
Produktbeschreibung
This first volume enables readers to develop a solid understanding of mean-field-type game theory. It covers key theoretical results such as the stochastic maximum principle and dynamic programming in both discrete and continuous time. The book also covers a wide range of techniques for modeling, designing and analyzing risk and uncertainties using game theory, as well as state-of-the-art distributed mean-field learning algorithm techniques.
Mean-Field-Type Game Theory I: Foundations and New Directions is an ideal resource for academic researchers, and advanced undergraduate and graduate students, surveying basic ideas and advanced topics.
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