Dynamic Optimization Deterministic and Stochastic Models /
This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses...
Main Authors: | , , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Series: | Universitext,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction and Organization of the Book
- Part I Deterministic Models
- Part II Markovian Decision Processes
- Part III Generalizations of Markovian Decision Processes
- Part IV Appendix.