[PDF.62gu] Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering)

Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering)

[PDF.cx94] Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering)

Reinforcement Learning and Dynamic  Lucian Busoniu, Robert Babuska, Bart De Schutter, Damien Ernst epub
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 | #1790165 in Books |  2010-04-29 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,1.19 | File type: PDF | 280 pages

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||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.

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 deve...

You easily download any file type for your gadget.Reinforcement Learning and Dynamic Programming Using Function Approximators (Automation and Control Engineering)   |  Lucian Busoniu, Robert Babuska, Bart De Schutter, Damien Ernst.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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