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Reinforcement Learning (Hardback)

by Cornelius Weber

Intechopen

Hardback or Cased Book 436 pages Jan 01, 2008

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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.
Author:
Cornelius Weber
Publisher:
Intechopen
Publication Date:
Jan 01, 2008
Number of pages:
436 pages
Binding:
Hardback or Cased Book
ISBN-10:
3902613149
ISBN-13:
9783902613141