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Reinforcement Learning for Sequential Decision and Optimal Control

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Cover of 'Reinforcement Learning for Sequential Decision and Optimal Control'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Reinforcement Learning
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    Chapter 2 Principles of RL Problems
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    Chapter 3 Model-Free Indirect RL: Monte Carlo
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    Chapter 4 Model-Free Indirect RL: Temporal Difference
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    Chapter 5 Model-Based Indirect RL: Dynamic Programming
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    Chapter 6 Indirect RL with Function Approximation
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    Chapter 7 Direct RL with Policy Gradient
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    Chapter 8 Approximate Dynamic Programming
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    Chapter 9 State Constraints and Safety Consideration
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    Chapter 10 Deep Reinforcement Learning
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    Chapter 11 Miscellaneous Topics
Attention for Chapter 8: Approximate Dynamic Programming
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