Reinforcement Learning From Scratch

Name: Reinforcement Learning From Scratch
Brand: Springer, Berlin
SKU: 9783031090295
Price: 82.63 EUR
Availability: InStock

Understanding Current Approaches - with Examples in Java and Greenfoot

Автор: Uwe Lorenz

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

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82.63 € 161.60 лв

In ancient games such as chess or go, the most brilliant players can improve by studying the strateg...

Информация за книгата

Автор

Uwe Lorenz

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2022

страници

184

EAN

9783031090295

Enbook ID

39236376

Издател

Springer, Berlin

Теглоt

458

Размери

155 x 235 x 17

Пълно описание

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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Reinforcement Learning From Scratch

Understanding Current Approaches - with Examples in Java and Greenfoot

Информация за книгата

Пълно описание

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