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Reinforcement Learning: Aktuelle Ansätze Verstehen - Mit Beispielen in Java Und Greenfoot
Paperback
DatabasesGeneral ComputersProgramming
ISBN13: 9783662683101
Publisher: Springer Vieweg
Published: Apr 5 2024
Pages: 204
Weight: 0.79
Height: 0.47 Width: 6.69 Depth: 9.61
Language: German
In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren. Robotische Systeme üben ihre Bewegungen selbst. In Arcade Games erreichen lernfähige Agenten innerhalb weniger Stunden übermenschliches Niveau. Wie funktionieren diese spektakulären Algorithmen des bestärkenden Lernens? Mit gut verständlichen Erklärungen und übersichtlichen Beispielen in Java und Greenfoot können Sie sich die Prinzipien des bestärkenden Lernens aneignen und in eigenen intelligenten Agenten anwenden. Greenfoot (M.Kölling, King's College London) und das Hamster-Modell (D.Bohles, Universität Oldenburg) sind einfache, aber auch mächtige didaktische Werkzeuge, die entwickelt wurden, um Grundkonzepte der Programmierung zu vermitteln. Wir werden Figuren wie den Java-Hamster zu lernfähigen Agenten machen, die eigenständig ihre Umgebung erkunden. Die zweite Auflage enthält neue Themen wie Genetische Algorithmen und Künstliche Neugier sowie Erklärungen zu aktuellen Algorithmen wie A3C und PPO (wurde u.a. für das Finetuning von ChatGPT verwendet), au erdem Korrekturen und Überarbeitungen.
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