Markov Decision Processes and Stochastic Positional Games

Optimal Control on Complex Networks de

,

Éditeur :

Springer


Paru le : 2024-01-12

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Description

This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. In addition, it focuses on a new class of stochastic games: stochastic positional games that extend and generalize the classic deterministic positional games. It presents new algorithmic results on the suitable implementation of quasi-monotonic programming techniques. Moreover, the book presents applications of positional games within a class of multi-objective discrete control problems and hierarchical control problems on networks.

Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games.
Pages
396 pages
Collection
n.c
Parution
2024-01-12
Marque
Springer
EAN papier
9783031401794
EAN PDF
9783031401800

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
9810 Ko
Prix
147,69 €
EAN EPUB
9783031401800

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
39
Taille du fichier
34458 Ko
Prix
147,69 €

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