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Reinforcement Learning

Overview of attention for book
Cover of 'Reinforcement Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The Challenge of Reinforcement Learning
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    Chapter 2 Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
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    Chapter 3 Practical Issues in Temporal Difference Learning
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    Chapter 4 Technical Note
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    Chapter 5 Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching
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    Chapter 6 Transfer of Learning by Composing Solutions of Elemental Sequential Tasks
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    Chapter 7 The Convergence of TD(λ) for General λ
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    Chapter 8 A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments
Attention for Chapter 5: Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching
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