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Grokking Deep Reinforcement Learning
Taschenbuch von Miguel Morales
Sprache: Englisch

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Beschreibung

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.

Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field.

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.

Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field.
Über den Autor
Miguel Morales is a Staff Research Engineer at Lockheed Martin, Missile and Fire Control-Autonomous Systems. He is also a faculty member at Georgia Institute of Technology where he works as an Instructional Associate for the Reinforcement Learning and Decision Making graduate course. Miguel has worked for numerous other educational and technology companies including Udacity, AT&T, Cisco, and HPE.
Details
Erscheinungsjahr: 2021
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 465
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781617295454
ISBN-10: 1617295450
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Morales, Miguel
Besonderheit: Unsere Aufsteiger
Hersteller: Manning Publications
Maße: 235 x 189 x 29 mm
Von/Mit: Miguel Morales
Erscheinungsdatum: 01.01.2021
Gewicht: 0,867 kg
preigu-id: 117915233
Über den Autor
Miguel Morales is a Staff Research Engineer at Lockheed Martin, Missile and Fire Control-Autonomous Systems. He is also a faculty member at Georgia Institute of Technology where he works as an Instructional Associate for the Reinforcement Learning and Decision Making graduate course. Miguel has worked for numerous other educational and technology companies including Udacity, AT&T, Cisco, and HPE.
Details
Erscheinungsjahr: 2021
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 465
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781617295454
ISBN-10: 1617295450
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Morales, Miguel
Besonderheit: Unsere Aufsteiger
Hersteller: Manning Publications
Maße: 235 x 189 x 29 mm
Von/Mit: Miguel Morales
Erscheinungsdatum: 01.01.2021
Gewicht: 0,867 kg
preigu-id: 117915233
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