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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Markov Decision Processes in Practice (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R8,971
Discovery Miles 89 710
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Markov Decision Processes in Practice (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: International Series in Operations Research & Management Science, 248
Expected to ship within 10 - 15 working days
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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.
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