Studies in Computational Intelligence

Transfer in Reinforcement Learning Domains

Authors: Taylor, Matthew

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  • Introductory book to the new concept of transfer learning
  • Recent research in transfer learning which is a current important topic in the field of Computational Intelligence
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eBook 117,69 €
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  • ISBN 978-3-642-01882-4
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Hardcover 155,99 €
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About this book

In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algorithms capable of mastering increasingly complex problems, but learning difficult tasks is often slow or infeasible when RL agents begin with no prior knowledge. The key insight behind "transfer learning" is that generalization may occur not only within tasks, but also across tasks. While transfer has been studied in the psychological literature for many years, the RL community has only recently begun to investigate the benefits of transferring knowledge. This book provides an introduction to the RL transfer problem and discusses methods which demonstrate the promise of this exciting area of research.

The key contributions of this book are:

    • Definition of the transfer problem in RL domains
    • Background on RL, sufficient to allow a wide audience to understand discussed transfer concepts
    • Taxonomy for transfer methods in RL
    • Survey of existing approaches
    • In-depth presentation of selected transfer methods
    • Discussion of key open questions

By way of the research presented in this book, the author has established himself as the pre-eminent worldwide expert on transfer learning in sequential decision making tasks. A particular strength of the research is its very thorough and methodical empirical evaluation, which Matthew presents, motivates, and analyzes clearly in prose throughout the book. Whether this is your initial introduction to the concept of transfer learning, or whether you are a practitioner in the field looking for nuanced details, I trust that you will find this book to be an enjoyable and enlightening read.

Peter Stone, Associate Professor of Computer Science

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-642-01882-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 155,99 €
price for Spain (gross)
Softcover 155,99 €
price for Spain (gross)
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Bibliographic Information

Bibliographic Information
Book Title
Transfer in Reinforcement Learning Domains
Authors
Series Title
Studies in Computational Intelligence
Series Volume
216
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-01882-4
DOI
10.1007/978-3-642-01882-4
Hardcover ISBN
978-3-642-01881-7
Softcover ISBN
978-3-642-10186-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XII, 230
Topics