© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
M. HuThe Art of Reinforcement Learninghttps://doi.org/10.1007/978-1-4842-9606-6_1

1. Introduction

Michael Hu1  
(1)
Shanghai, Shanghai, China
 

Artificial intelligence has made impressive progress in recent years, with breakthroughs achieved in areas such as image recognition, natural language processing, and playing games. In particular, reinforcement learning, a type of machine learning that focuses on learning by interacting with an environment, has led to remarkable achievements in the field.

In this book, we focus on the combination of reinforcement learning and deep neural networks, which have become central to the success of agents that can master complex ...

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