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Modern trends in controlled stochast...

Piunovskiy, Alexey.

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Modern trends in controlled stochastic processes: = theory and applications.. V.III /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modern trends in controlled stochastic processes:/ edited by Alexey Piunovskiy, Yi Zhang.
其他題名:	theory and applications.
其他作者:	Piunovskiy, Alexey.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xii, 356 p. :ill., digital ;24 cm.
內容註:	Average Cost Markov Decision Processes with Semi-Uniform Feller Transition Probabilities -- First Passage Exponential Optimality Problem for Semi-Markov Decision Processes -- Controlled Random Walk: Conjecture and Counter-Example -- Optimal Stopping Problems for a Family of Continuous-Time Markov Processes -- Control of Continuous-Time Markov Jump Linear Systems with Partial Information.
Contained By:	Springer Nature eBook
標題:	Stochastic control theory. -
電子資源:	https://doi.org/10.1007/978-3-030-76928-4
ISBN:	9783030769284

Modern trends in controlled stochastic processes: = theory and applications.. V.III /
Modern trends in controlled stochastic processes:theory and applications.V.III /[electronic resource] :edited by Alexey Piunovskiy, Yi Zhang. - Cham :Springer International Publishing :2021. - xii, 356 p. :ill., digital ;24 cm. - Emergence, complexity and computation,v.412194-7287 ;. - Emergence, complexity and computation ;v.41..

Average Cost Markov Decision Processes with Semi-Uniform Feller Transition Probabilities -- First Passage Exponential Optimality Problem for Semi-Markov Decision Processes -- Controlled Random Walk: Conjecture and Counter-Example -- Optimal Stopping Problems for a Family of Continuous-Time Markov Processes -- Control of Continuous-Time Markov Jump Linear Systems with Partial Information.

This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented. Scientific researchers and postgraduate students interested in stochastic optimal control,- as well as practitioners will find this book appealing and a valuable reference.

ISBN: 9783030769284

Standard No.: 10.1007/978-3-030-76928-4doiSubjects--Topical Terms:

647881
Stochastic control theory.

LC Class. No.: QA402.37

Dewey Class. No.: 519.23

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520 $a This book presents state-of-the-art solution methods and applications of stochastic optimal control. It is a collection of extended papers discussed at the traditional Liverpool workshop on controlled stochastic processes with participants from both the east and the west. New problems are formulated, and progresses of ongoing research are reported. Topics covered in this book include theoretical results and numerical methods for Markov and semi-Markov decision processes, optimal stopping of Markov processes, stochastic games, problems with partial information, optimal filtering, robust control, Q-learning, and self-organizing algorithms. Real-life case studies and applications, e.g., queueing systems, forest management, control of water resources, marketing science, and healthcare, are presented. Scientific researchers and postgraduate students interested in stochastic optimal control,- as well as practitioners will find this book appealing and a valuable reference.
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