Supervised learning has initially been successful in prediction and classification tasks, but is not brain-like. This book is on reinforcement learning which involves performing actions to achieve a goal. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Applications.īrains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Reinforcement Learning, Theory and Applications, Edited by Cornelius Weber, Mark Elshaw and Norbert Michael Mayer p. © 2008 I-Tech Education and Publishing Additional copies can be obtained from: First published January 2008 Printed in CroatiaĪ catalog record for this book is available from the Austrian Library. After this work has been published by the Advanced Robotic Systems International, authors have the right to republish it, in whole or part, in any publication of which they are an author or editor, and the make other personal use of the work. Publisher assumes no responsibility liability for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained inside. No responsibility is accepted for the accuracy of information contained in the published articles. Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. Published by the I-Tech Education and Publishing, Vienna, AustriaĪbstracting and non-profit use of the material is permitted with credit to the source. Reinforcement Learning Theory and ApplicationsĮdited by Cornelius Weber Mark Elshaw Norbert Michael Mayer
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