Reinforcement Learning

Reinforcement Learning

The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields.

Publication date: 01 Jan 2008

ISBN-10: n/a

ISBN-13: 9783902613141

Paperback: 434 pages

Views: 2,308

Reinforcement Learning

Reinforcement Learning The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields.
Tag(s): Artificial Intelligence Machine Learning
Publication date: 01 Jan 2008
ISBN-10: n/a
ISBN-13: 9783902613141
Paperback: 434 pages
Views: 2,308
Document Type: N/A
Publisher: I-Tech Education and Publishing
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Post time: 21 Apr 2016 11:00:00
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From the Book Description:

Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field.




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Mark Elshaw

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Norbert Michael Mayer

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