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The Springer International Series in Engineering and Computer Science

Robot Learning

Editors: Connell, J. H., Mahadevan, Sridhar (Eds.)

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  • ISBN 978-1-4615-3184-5
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About this book

Building a robot that learns to perform a task has been acknowledged as one of the major challenges facing artificial intelligence. Self-improving robots would relieve humans from much of the drudgery of programming and would potentially allow operation in environments that were changeable or only partially known. Progress towards this goal would also make fundamental contributions to artificial intelligence by furthering our understanding of how to successfully integrate disparate abilities such as perception, planning, learning and action.
Although its roots can be traced back to the late fifties, the area of robot learning has lately seen a resurgence of interest. The flurry of interest in robot learning has partly been fueled by exciting new work in the areas of reinforcement earning, behavior-based architectures, genetic algorithms, neural networks and the study of artificial life. Robot Learning gives an overview of some of the current research projects in robot learning being carried out at leading universities and research laboratories in the United States. The main research directions in robot learning covered in this book include: reinforcement learning, behavior-based architectures, neural networks, map learning, action models, navigation and guided exploration.

Table of contents (8 chapters)

  • Introduction to Robot Learning

    Connell, Jonathan H. (et al.)

    Pages 1-17

  • Knowledge-Based Training of Artificial Neural Networks for Autonomous Robot Driving

    Pomerleau, Dean A.

    Pages 19-43

  • Learning Multiple Goal Behavior via Task Decomposition and Dynamic Policy Merging

    Whitehead, Steven (et al.)

    Pages 45-78

  • Memory-based Reinforcement Learning: Converging with Less Data and Less Real Time

    Moore, Andrew W. (et al.)

    Pages 79-103

  • Rapid Task Learning for Real Robots

    Connell, Jonathan H. (et al.)

    Pages 105-139

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-1-4615-3184-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-0-7923-9365-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-1-4613-6396-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Robot Learning
Editors
  • J. H. Connell
  • Sridhar Mahadevan
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
233
Copyright
1993
Publisher
Springer US
Copyright Holder
Kluwer Academic Publishers
eBook ISBN
978-1-4615-3184-5
DOI
10.1007/978-1-4615-3184-5
Hardcover ISBN
978-0-7923-9365-8
Softcover ISBN
978-1-4613-6396-5
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XIII, 240
Topics