Modern Trends in Controlled Stochastic Processes: Theory and Applications: Vol 3
Language: English
Published by Springer Nature, 2021
Series: Book 39 of 47 - Emergence, Complexity and Computation
- Hardcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
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370 pages. 9.25x6.10x9.21 inches. In Stock.
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- Title
- Modern Trends in Controlled Stochastic Processes: Theory and Applications: Vol 3
- Author
- Piunovskiy, Alexey (Editor)/ Zhang, Yi (Editor)
- Publisher
- Springer Nature
- Publication year
- 2021
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030769275
- ISBN 13
- 9783030769277
- Item weight
- 0.7 kilograms
- Series
- Book 39 of 47: Emergence, Complexity and Computation
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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 bookappealing and a valuable reference.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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