Książka Reinforcement Learning From Scratch Uwe Lorenz

Reinforcement Learning From Scratch

Understanding Current Approaches - with Examples in Java and Greenfoot

Autor: Uwe Lorenz
Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
331.49
In ancient games such as chess or go, the most brilliant players can improve by studying the strateg...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2022
strony
184
EAN
9783031090295
Enbook ID
39236376
Waga
458
Wymiary
155 x 235 x 17

Pełny opis

In ancient games such as chess or go, the most brilliant players can improve by studying the strategies produced by a machine. Robotic systems practice their own movements. In arcade games, agents capable of learning reach superhuman levels within a few hours. How do these spectacular reinforcement learning algorithms work? With easy-to-understand explanations and clear examples in Java and Greenfoot, you can acquire the principles of reinforcement learning and apply them in your own intelligent agents. Greenfoot (M.Kölling, King's College London) and the hamster model (D. Bohles, University of Oldenburg) are simple but also powerful didactic tools that were developed to convey basic programming concepts. The result is an accessible introduction into machine learning that  concentrates on reinforcement learning. Taking the reader through the steps of developing intelligent agents, from the very basics to advanced aspects, touching on a variety of machine learning algorithms along the way, one is allowed to play along, experiment, and add their own ideas and experiments.  

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