Reinforcement Learning From Scratch

Name: Reinforcement Learning From Scratch
Brand: Springer, Berlin
SKU: 9783031090295
Price: 30194 HUF
Availability: InStock

Understanding Current Approaches - with Examples in Java and Greenfoot

Szerző: Uwe Lorenz

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

30 194 Ft

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

Információk a könyvről

Szerző

Uwe Lorenz

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2022

oldal

184

EAN

9783031090295

Enbook ID

39236376

Kiadó

Springer, Berlin

Súly

458

Méretek

155 x 235 x 17

Teljes leírás

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

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták