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Markov Decision Processes in Practice

Name: Markov Decision Processes in Practice
Brand: Springer International Publishing AG
SKU: 9783319477640
Price: 298.61 EUR
Availability: InStock

Autor: Richard J. Boucherie, Nico M. van Dijk

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

298.61 €

This book utilizes classical Markov Decision Processes (MDP) for real-life applications and optimiza...

Informácie o knihe

Autor

Richard J. Boucherie, Nico M. van Dijk

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2017

Stránok

552

EAN

9783319477640

ISBN

3319477641

Enbook ID

14277696

Vydavateľ

Springer International Publishing AG

Hmotnosť

1300

Rozmery

155 x 235 x 38

Kompletný popis

This book utilizes classical Markov Decision Processes (MDP) for real-life applications and optimization. MDP allows users to develop and formally support approximate and simple decision rules, and this book showcases state-of-the-art applications in which MDP was key to the solution approach. The book is divided into six parts. Part 1 is devoted to the state-of-the-art theoretical foundation of MDP, including approximate methods such as policy improvement, successive approximation and infinite state spaces as well as an instructive chapter on Approximate Dynamic Programming. It then continues with five parts of specific and non-exhaustive application areas. Part 2 covers MDP healthcare applications, which includes different screening procedures, appointment scheduling, ambulance scheduling and blood management. Part 3 explores MDP modeling within transportation. This ranges from public to private transportation, from airports and traffic lights to car parking or charging your electric car . Part 4 contains three chapters that illustrates the structure of approximate policies for production or manufacturing structures. In Part 5, communications is highlighted as an important application area for MDP. It includes Gittins indices, down-to-earth call centers and wireless sensor networks. Finally Part 6 is dedicated to financial modeling, offering an instructive review to account for financial portfolios and derivatives under proportional transactional costs. The MDP applications in this book illustrate a variety of both standard and non-standard aspects of MDP modeling and its practical use. This book should appeal to readers for practitioning, academic research and educational purposes, with a background in, among others, operations research, mathematics, computer science, and industrial engineering.

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