UID:
almahu_9949709239202882
Format:
XIX, 396 p. 41 illus.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031401800
Series Statement:
International Series in Operations Research & Management Science, 349
Content:
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.
Note:
Discrete Markov Processes and Numerical Algorithms for Markov Chains -- Markov Decision Processes and Stochastic Control Problems on Networks -- Stochastic Games and Positional Games on Networks.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031401794
Additional Edition:
Printed edition: ISBN 9783031401817
Additional Edition:
Printed edition: ISBN 9783031401824
Language:
English
DOI:
10.1007/978-3-031-40180-0
URL:
https://doi.org/10.1007/978-3-031-40180-0
