Actions for Markov Decision Processes and Stochastic Positional Games [electronic resource] : Optimal Control on Complex Networks

Email RIS file
Bookmark
Report an Issue

Markov Decision Processes and Stochastic Positional Games [electronic resource] : Optimal Control on Complex Networks / by Dmitrii Lozovanu, Stefan Wolfgang Pickl

Author
Lozovanu, Dmitrii
Published
Cham : Springer International Publishing : Imprint: Springer, 2024.
Edition
1st ed. 2024.
Physical Description
XIX, 396 pages 41 illustrations : online resource
Additional Creators
Pickl, Stefan Wolfgang and SpringerLink (Online service)
Access Online

Availability

I Want It
I Want It

Finding items...

Series
Contents
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.
Summary
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.
Subject(s)
ISBN
9783031401800
Digital File Characteristics
PDF
text file
Part Of
Springer Nature eBook
View MARC record | catkey: 43333492