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Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering) - Hardcover
Synopsis
From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dynamic systems, its practical value was limited by algorithms that lacked the capacity to scale up to realistic problems.
However, in recent years, dramatic developments in Reinforcement Learning...
About the Author
Robert Babuska, Lucian Busoniu, and Bart de Schutter are with the Delft University of Technology. Damien Ernst is with the University of Liege.
"About this title" may belong to another edition of this title.
- PublisherCRC Press
- Publication date2010
- ISBN 10 1439821089
- ISBN 13 9781439821084
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages284
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Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering)
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