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Transfer in Reinforcement Learning Domains - 9783642018817
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Item specifics
- Condition
- Book Title
- Transfer in Reinforcement Learning Domains
- ISBN
- 9783642018817
- Publication Year
- 2009
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Transfer in Reinforcement Learning Domains
- Item Height
- 235mm
- Publisher
- Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
- Item Width
- 155mm
- Subject
- Computer Science
- Item Weight
- 1150g
- Number of Pages
- 230 Pages
About this product
Product Information
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
Product Identifiers
Publisher
Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
ISBN-13
9783642018817
eBay Product ID (ePID)
90204014
Product Key Features
Publication Name
Transfer in Reinforcement Learning Domains
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2009
Type
Textbook
Number of Pages
230 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Volume
216
Item Weight
1150g
Additional Product Features
Series Title
Studies in Computational Intelligence
Country/Region of Manufacture
Germany
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BOOKS ETC LIMITED
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