Markov Decision Processes in Practice

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Markov Decision Processes in Practice by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319477664
Publisher: Springer International Publishing Publication: March 10, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319477664
Publisher: Springer International Publishing
Publication: March 10, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Theoretical Foundations of Synchrotron and Storage Ring RF Systems by
Cover of the book Performance Evaluation for Network Services, Systems and Protocols by
Cover of the book Poetry and Pedagogy across the Lifespan by
Cover of the book The Moon's Largest Craters and Basins by
Cover of the book Modelling Pulsar Wind Nebulae by
Cover of the book Children’s Voices from the Past by
Cover of the book Physical and Mathematical Modeling of Earth and Environment Processes (2018) by
Cover of the book African and Afro-Caribbean Repatriation, 1919–1922 by
Cover of the book Introduction to Turkish Labour Law by
Cover of the book Intelligent Computing Theories and Application by
Cover of the book Semantic Web Challenges by
Cover of the book The Prophetic Dimension of Sport by
Cover of the book Structured Object-Oriented Formal Language and Method by
Cover of the book Postgrowth and Wellbeing by
Cover of the book Theory and Models for Cyber Situation Awareness by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy