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Turnpike Phenomenon for Markov Decision Processes

This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems. At its core, the monograph delves into the...

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Bibliografiske detaljer
Hovedforfatter: Zaslavski, Alexander J. (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:SpringerBriefs in Mathematics,
Fag:
Mathematical optimization.
Calculus of variations.
Probabilities.
System theory.
Control theory.
Calculus of Variations and Optimization.
Probability Theory.
Systems Theory, Control.
Online adgang:https://doi.org/10.1007/978-3-032-00854-1
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Indholdsfortegnelse:
  • 1. Introduction
  • 2. Uniqueness and stability of optimal policies
  • 3. Existence of an overtaking optimal policy
  • 4. A weak turnpike property
  • 5. Convex Markov decision processes
  • 6. Turnpike properties for MDPs with perturbations
  • 7. Controllability properties
  • 8. Optimal control problems with singleton-turnpikes
  • 9. Conclusions.

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