Finite Approximations in Discrete-Time Stochastic Control Quantized Models and Asymptotic Optimality /

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 red...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Saldi, Naci (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Linder, Tamás (http://id.loc.gov/vocabulary/relators/aut), Yüksel, Serdar (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Birkhäuser, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Systems & Control: Foundations & Applications,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.