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Markov Decision Processes in Practice

Name: Markov Decision Processes in Practice
Brand: Springer International Publishing AG
SKU: 9783319838175
Price: 1653.69 RON
Availability: InStock

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

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Legare: Carte broșată

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Richard J. Boucherie, Nico M. van Dijk

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

552

EAN

9783319838175

Enbook ID

20093432

Editura

Springer International Publishing AG

Greutate

8716

Dimensiuni

155 x 235 x 32

Descriere completă

This book presents 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.