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Alex Chai et al.: Deep Reinforcement Learning in Action

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Description

This book, the "Extreme Learning In action", is based on direct feedback provided by the environment and describes how agents can adapt to the environment, improve themselves. In this book, which is a course with a flow, you learn about the basic skills of deep-intensive learning and advanced engineering in interesting examples, such as escape through mazes and video game play. In the process, you can learn a lot of key algorithms, including deep Q neural network and policy slope, and you will be familiar with libraries that are based on industrial standards, such as the RPTTT and the KATI Gym.

Korean title: 심층 강화학습 인 액션

Korean author: 알렉스 짜이 외

Korean publisher: 제이펍

ISBN-13: 9791190665612

Reviews

4.4
Based on 13 reviews
Showing 4 of 13 reviews
NG***************
January 29, 2025

It's not elementary, it's deep, and we're studying well in the company.

NA********
March 17, 2021

It was so valuable to learn about the latest domestic reinforcements of learning books, the string drawings, the doctor code, the actual code, and how to combine them to help you understand math, and the idea that it's a great help in understanding and implementing your paper.

MC*******
March 13, 2021

Maybe the original text is a good one, but the translation is too bad. The weights did a lot of translation, but the majors are not as toxic as they could be. I'll go buy another book again.

YE*****
January 1, 2021

It's a good book. It's awkward to translate, but it's good enough to make sure that the book's content offsets it all.

알렉스 짜이 외: 심층 강화학습 인 액션
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