Markov Decision Processes and Stochastic Positional Games
Autor Dmitrii Lozovanu, Stefan Wolfgang Picklen Limba Engleză Paperback – 14 ian 2025
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Specificații
ISBN-13: 9783031401824
ISBN-10: 3031401824
Pagini: 416
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.63 kg
Editura: Springer
ISBN-10: 3031401824
Pagini: 416
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.63 kg
Editura: Springer
Cuprins
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
Notă biografică
Prof. Dr. Stefan Pickl is professor for Operations Research at Universität der Bundeswehr in Munich. He studied mathematics, electrical engineering, and philosophy at TU Darmstadt and EPFL Lausanne 1987-93. Dipl.-Ing. '93, Doctorate 1998 with award. Assistant Professor at Cologne University (Dr. habil. 2005; venia legendi ``Mathematics"). Visiting Professor at University of New Mexico (U.S.A.), University Graz (Austria), University of California at Berkeley. Visiting scientist at SANDIA, Los Alamos National Lab, Santa Fe Institute for Complex Systems and MIT. Associated with Centre for the Advanced Study of Algorithms (CASA, USA) and Center for Network Innovation and Experimentation (CENETIX, USA) , vice-chair of EURO group ``Experimental OR", program for highly gifted pupils, research program``Intelligent Networks and Security Structures" (INESS), ``Critical Infrastructures and System Analyses" (CRISYS). International best paper awards '03, '05, '07. Foundation of COMTESSA (Competence Center for Operations Research, Strategic Planning Management, Safety & Security ALLIANCE).
Prof. Dr. Dmitrii Lozovanu received his PhD in mathematics in 1980 from the Institute of Cybernetics of Academy of Sciences of Ukraine, Kiev. After the habilitation theses defense in 1991 he became professor in Computer Science. He is the head of department of Applied Mathematics at the Faculty of Mathematics and Computer Science of Moldova State University, Chisinau. His research interests are related to discrete optimization, game theory, optimal control and stochastic decision processes.
Textul de pe ultima copertă
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.
Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games.
Caracteristici
Provides new algorithmic results, applications and numerical insights Contains applications of positional games within a class of multi-objective discrete control problems Presents advanced theoretical and practical results