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Learning to Learn

Overview of attention for book
Cover of 'Learning to Learn'

Table of Contents

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    Book Overview
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    Chapter 1 Learning to Learn: Introduction and Overview
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    Chapter 2 A Survey of Connectionist Network Reuse Through Transfer
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    Chapter 3 Transfer in Cognition
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    Chapter 4 Theoretical Models of Learning to Learn
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    Chapter 5 Multitask Learning
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    Chapter 6 Making a Low-Dimensional Representation Suitable for Diverse Tasks
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    Chapter 7 The Canonical Distortion Measure for Vector Quantization and Function Approximation
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    Chapter 8 Lifelong Learning Algorithms
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    Chapter 9 The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness
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    Chapter 10 Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledge
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    Chapter 11 Child: A First Step Towards Continual Learning
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    Chapter 12 Reinforcement Learning with Self-Modifying Policies
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    Chapter 13 Creating Advice-Taking Reinforcement Learners
Attention for Chapter 13: Creating Advice-Taking Reinforcement Learners
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Citations

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Chapter title
Creating Advice-Taking Reinforcement Learners
Chapter number 13
Book title
Learning to Learn
Published by
Springer, Boston, MA, January 1998
DOI 10.1007/978-1-4615-5529-2_13
Book ISBNs
978-1-4613-7527-2, 978-1-4615-5529-2
Authors

Richard Maclin, Jude W. Shavlik, Maclin, Richard, Shavlik, Jude W.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%

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