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Reinforcement Learning From Scratch

- Understanding Current Approaches - with Examples in Java and Greenfoot
Af: Uwe Lorenz Engelsk Hardback

Reinforcement Learning From Scratch

- Understanding Current Approaches - with Examples in Java and Greenfoot
Af: Uwe Lorenz Engelsk Hardback
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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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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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Produktdetaljer
Sprog: Engelsk
Sider: 184
ISBN-13: 9783031090295
Indbinding: Hardback
Udgave:
ISBN-10: 3031090292
Kategori: Ekspert - og vidensbaserede systemer
Udg. Dato: 28 okt 2022
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 28 okt 2022
Forfatter(e): Uwe Lorenz
Forfatter(e) Uwe Lorenz

Kategori Ekspert - og vidensbaserede systemer

ISBN-13 9783031090295

Sprog Engelsk

Indbinding Hardback

Sider 184

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 28 okt 2022

Oplagsdato 28 okt 2022

Forlag Springer International Publishing AG