Deep Reinforcement Learning in Action (Paperback)
暫譯: 深度強化學習實戰

Zai, Alexander, Brown, Brandon

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商品描述

Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot.

Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you'll need to implement it into your own projects.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

人類從反饋中學習最佳——我們被鼓勵採取導致正面結果的行動,同時被負面後果的決策所阻礙。這種強化過程可以應用於計算機程序,使它們能夠解決傳統編程無法處理的更複雜問題。

《深度強化學習實戰》教你深度強化學習的基本概念和術語,以及你在將其實施到自己項目中所需的實用技能和技術。

購買印刷版書籍可獲得Manning Publications提供的免費電子書,格式包括PDF、Kindle和ePub。

作者簡介

Alexander Zai is a Machine Learning Engineer at Amazon AI working on MXNet that powers a suite of AWS machine learning products.

Brandon Brown is a Machine Learning and Data Analysis blogger at outlace.com committed to providing clear teaching on difficult topics for newcomers.

作者簡介(中文翻譯)

亞歷山大·蔡是亞馬遜人工智慧的機器學習工程師,專注於支援一系列AWS機器學習產品的MXNet。

布蘭登·布朗是outlace.com的機器學習和數據分析部落客,致力於為新手提供清晰的教學,幫助他們理解困難的主題。