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Finite Approximations in Discrete-Time Stochastic Control
Quantized Models and Asymptotic Optimality
Buch von Naci Saldi (u. a.)
Sprache: Englisch

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Beschreibung
In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control problems, with uncountable state, measurement, and action spaces. It demonstrates how quantization provides a system-independent and constructive method for the reduction of a system with Borel spaces to one with finite state, measurement, and action spaces. In addition to this constructive view, the book considers both the information transmission approach for discretization of actions, and the computational approach for discretization of states and actions. Part I of the text discusses Markov decision processes and their finite-state or finite-action approximations, while Part II builds from there to finite approximations in decentralized stochastic control problems.
This volume is perfect for researchers and graduate students interested in stochastic controls. With the tools presented, readers will be able to establish the convergence of approximation models to original models and the methods are general enough that researchers can build corresponding approximation results, typically with no additional assumptions.
In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control problems, with uncountable state, measurement, and action spaces. It demonstrates how quantization provides a system-independent and constructive method for the reduction of a system with Borel spaces to one with finite state, measurement, and action spaces. In addition to this constructive view, the book considers both the information transmission approach for discretization of actions, and the computational approach for discretization of states and actions. Part I of the text discusses Markov decision processes and their finite-state or finite-action approximations, while Part II builds from there to finite approximations in decentralized stochastic control problems.
This volume is perfect for researchers and graduate students interested in stochastic controls. With the tools presented, readers will be able to establish the convergence of approximation models to original models and the methods are general enough that researchers can build corresponding approximation results, typically with no additional assumptions.
Zusammenfassung

Demonstrates how quantization can be used to systematically optimize decentralized stochastic control problems

Explores network control applications

Provides a framework for comparing approximation models

Inhaltsverzeichnis
Introduction and Summary.- Part I: Finite Model Approximations in Stochastic Control.- Prelude to Part I.- Finite Action Approximation of Markov Decision Processes.- Finite-State Approximation of Markov Decision Processes.- Approximations for Partially Observed Markov Decision Processes.- Approximations for Constrained Markov Decision Problems.- Part II: Finite Model Approximations in Decentralized Stochastic Control.- Prelude to Part II.- Finite Model Approximations in Decentralized Stochastic Control.- Asymptotic Optimality of Finite Models for Specific Systems.- Index.- References.
Details
Erscheinungsjahr: 2018
Fachbereich: Allgemeines
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: vii
198 S.
6 s/w Illustr.
198 p. 6 illus.
ISBN-13: 9783319790329
ISBN-10: 3319790323
Sprache: Englisch
Herstellernummer: 978-3-319-79032-9
Einband: Gebunden
Autor: Saldi, Naci
Yüksel, Serdar
Linder, Tamás
Auflage: 1st edition 2018
Hersteller: Springer International Publishing
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 241 x 160 x 17 mm
Von/Mit: Naci Saldi (u. a.)
Erscheinungsdatum: 24.05.2018
Gewicht: 0,483 kg
Artikel-ID: 111862840
Zusammenfassung

Demonstrates how quantization can be used to systematically optimize decentralized stochastic control problems

Explores network control applications

Provides a framework for comparing approximation models

Inhaltsverzeichnis
Introduction and Summary.- Part I: Finite Model Approximations in Stochastic Control.- Prelude to Part I.- Finite Action Approximation of Markov Decision Processes.- Finite-State Approximation of Markov Decision Processes.- Approximations for Partially Observed Markov Decision Processes.- Approximations for Constrained Markov Decision Problems.- Part II: Finite Model Approximations in Decentralized Stochastic Control.- Prelude to Part II.- Finite Model Approximations in Decentralized Stochastic Control.- Asymptotic Optimality of Finite Models for Specific Systems.- Index.- References.
Details
Erscheinungsjahr: 2018
Fachbereich: Allgemeines
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: vii
198 S.
6 s/w Illustr.
198 p. 6 illus.
ISBN-13: 9783319790329
ISBN-10: 3319790323
Sprache: Englisch
Herstellernummer: 978-3-319-79032-9
Einband: Gebunden
Autor: Saldi, Naci
Yüksel, Serdar
Linder, Tamás
Auflage: 1st edition 2018
Hersteller: Springer International Publishing
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße: 241 x 160 x 17 mm
Von/Mit: Naci Saldi (u. a.)
Erscheinungsdatum: 24.05.2018
Gewicht: 0,483 kg
Artikel-ID: 111862840
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