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Reinforcement Learning

Reinforcement Learning

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783662616512
Condition
New
Product Description

In uralten Spielen wie Schach oder Go knnen sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren. Robotische Systeme ben ihre Bewegungen selbst. In Arcade Games erreichen lernfhige Agenten innerhalb weniger Stunden bermenschliches Niveau. Wie funktionieren diese spektakulren Algorithmen des bestrkenden Lernens? Mit gut verstndlichen Erklrungen und bersichtlichen Beispielen in Java und Greenfoot knnen Sie sich die Prinzipien des bestrkenden Lernens aneignen und in eigenen intelligenten Agenten anwenden. Greenfoot (M.Klling, Kings College London) und das Hamster-Modell (D.Bohles, Universitt Oldenburg) sind einfache aber auch mchtige didaktische Werkzeuge, die entwickelt wurden, um Grundkonzepte der Programmierung zu vermitteln. Wir werden Figuren wie den Java-Hamster zu lernfhigen Agenten machen, die eigenstndig ihre Umgebung erkunden.

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