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Motivated Reinforcement Learning

Curious Characters for Multiuser Games

Authors: Merrick, Kathryn E., Maher, Mary Lou

  • Motivated reinforcement learning agents are applied as a novel approach to designing dynamic, adaptive characters for multiuser, online games

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eBook n/a
  • ISBN 978-3-540-89187-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-3-540-89186-4
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-3-642-10035-2
  • Free shipping for individuals worldwide
About this book

Motivated learning is an emerging research field in artificial intelligence and cognitive modelling. Computational models of motivation extend reinforcement learning to adaptive, multitask learning in complex, dynamic environments – the goal being to understand how machines can develop new skills and achieve goals that were not predefined by human engineers. In particular, this book describes how motivated reinforcement learning agents can be used in computer games for the design of non-player characters that can adapt their behaviour in response to unexpected changes in their environment.

This book covers the design, application and evaluation of computational models of motivation in reinforcement learning. The authors start with overviews of motivation and reinforcement learning, then describe models for motivated reinforcement learning. The performance of these models is demonstrated by applications in simulated game scenarios and a live, open-ended virtual world.

Researchers in artificial intelligence, machine learning and artificial life will benefit from this book, as will practitioners working on complex, dynamic systems – in particular multiuser, online games.

Table of contents (10 chapters)

  • Non-Player Characters in Multiuser Games

    Merrick, Kathryn E. (et al.)

    Pages 3-16

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  • Motivation in Natural and Artificial Agents

    Merrick, Kathryn E. (et al.)

    Pages 17-43

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  • Towards Motivated Reinforcement Learning

    Merrick, Kathryn E. (et al.)

    Pages 45-70

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  • Comparing the Behaviour of Learning Agents

    Merrick, Kathryn E. (et al.)

    Pages 71-88

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  • Curiosity, Motivation and Attention Focus

    Merrick, Kathryn E. (et al.)

    Pages 91-120

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Buy this book

eBook n/a
  • ISBN 978-3-540-89187-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-3-540-89186-4
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-3-642-10035-2
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Motivated Reinforcement Learning
Book Subtitle
Curious Characters for Multiuser Games
Authors
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-89187-1
DOI
10.1007/978-3-540-89187-1
Hardcover ISBN
978-3-540-89186-4
Softcover ISBN
978-3-642-10035-2
Edition Number
1
Number of Pages
XIV, 206
Number of Illustrations and Tables
86 b/w illustrations, 32 illustrations in colour
Topics