Reinforcement Learning for Optimal Feedback Control
Language: English
Published by Springer International Publishing, 2018
Series: Book 46 of 65 - Communications and Control Engineering
- Softcover
- New
Condition: New
£ 124.41
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates the effectiveness of the developed methods with comparative simulations to leading off-line numerical methodsPresents theoretical development through engineering examples and hardware implementations.
Seller Inventory # 458530260
- Title
- Reinforcement Learning for Optimal Feedback Control
- Author
- Rushikesh Kamalapurkar|Patrick Walters|Joel Rosenfeld|Warren Dixon
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3030086895
- ISBN 13
- 9783030086893
- Series
- Book 46 of 65: Communications and Control Engineering
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
To yield an approximate optimal controller, the authors focus on theories and methods that fall under the umbrella of actor–critic methods for machine learning. They concentrate on establishing stability during the learning phase and the execution phase, and adaptive model-based and data-driven reinforcement learning, to assist readers in the learning process, which typically relies on instantaneous input-output measurements.
This monograph provides academic researchers with backgrounds in diverse disciplines from aerospace engineering to computer science, who are interested in optimal reinforcement learning functional analysis and functional approximation theory, with a good introduction to the use of model-based methods. The thorough treatment of an advanced treatment to control will also interest practitioners working in the chemical-process and power-supply industry.
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