Reinforcement Learning From Scratch: Understanding Current Approaches - with Examples in Java and Greenfoot
by Uwe Lorenz
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Reinforcement Learning From Scratch
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.The book, Reinforcement Learning From Scratch: Understanding Current Approaches - with Examples in Java and Greenfoot [Bulk, Wholesale, Quantity] ISBN#9783031090325 in Paperback by Uwe Lorenz may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer International Publishing
- Author
- Uwe Lorenz
- Format
- Paperback
- Published
- Oct 28, 2023
- ISBN-13
- 9783031090325
- Pages
- 184
- Printing
- Printed on demand
Reinforcement Learning From Scratch in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $57.19 | 12% off list |
| 50 – 99 | $56.54 | 13% off list |
| 100+ | $55.89 | 14% off list |
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