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Deep Reinforcement Learning

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Cover of 'Deep Reinforcement Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Deep Learning
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    Chapter 2 Introduction to Reinforcement Learning
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    Chapter 3 Taxonomy of Reinforcement Learning Algorithms
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    Chapter 4 Deep Q-Networks
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    Chapter 5 Policy Gradient
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    Chapter 6 Combine Deep Q -Networks with Actor-Critic
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    Chapter 7 Challenges of Reinforcement Learning
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    Chapter 8 Imitation Learning
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    Chapter 9 Integrating Learning and Planning
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    Chapter 10 Hierarchical Reinforcement Learning
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    Chapter 11 Multi-Agent Reinforcement Learning
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    Chapter 12 Parallel Computing
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    Chapter 13 Learning to Run
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    Chapter 14 Robust Image Enhancement
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    Chapter 15 AlphaZero
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    Chapter 16 Robot Learning in Simulation
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    Chapter 17 Arena Platform for Multi-Agent Reinforcement Learning
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    Chapter 18 Tricks of Implementation
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    Chapter 19 Algorithm Table
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    Chapter 20 Algorithm Cheatsheet
Attention for Chapter 13: Learning to Run
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