Qiying Hu; Wuyi Yue Markov Decision Processes with Their Applications 9781441942388

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Автор: Qiying Hu; Wuyi Yue
Название: Markov Decision Processes with Their Applications
ISBN: 9781441942388
Издательство: Springer
Классификация:

Исследование операций

Математика

Основы высшей математики и математический анализ

Вариационное исчисление

Вероятность и статистика

Организация производственных процессов

ISBN-10: 1441942386
Обложка/Формат: Paperback
Страницы: 314
Вес: 0.55 кг.
Дата издания: 2007
Серия: Advances in Mechanics and Mathematics
Язык: English
Издание: Softcover reprint of
Иллюстрации: 3 black & white tables, biography
Размер: 244 x 170 x 17
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание:

Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochastic circumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practical problems. These models include partially observable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters.

Markov Decision Processes With Their Applications examines MDPs and their applications in the optimal control of discrete event systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. The book presents four main topics that are used to study optimal control problems: a new methodology for MDPs with discounted total reward criterion; transformation of continuous-time MDPs and semi-Markov decision processes into a discrete-time MDPs model, thereby simplifying the application of MDPs; MDPs in stochastic environments, which greatly extends the area where MDPs can be applied; applications of MDPs in optimal control of discrete event systems, optimal replacement, and optimal allocation in sequential online auctions.

This book is intended for researchers, mathematicians, advanced graduate students, and engineers who are interested in optimal control, operation research, communications, manufacturing, economics, and electronic commerce.

Markov Decision Processes with Their Applications, Qiying Hu; Wuyi Yue