Deep Reinforcement Learning in Action (Paperback)

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)

人類最佳的學習方式是透過回饋,我們會受到鼓勵去採取能帶來正面結果的行動,同時也會受到負面後果的阻撓。這種強化過程可以應用在電腦程式上,使其能夠解決比傳統編程更複雜的問題。

《深度強化學習實戰》教授您深度強化學習的基本概念和術語,以及實際應用這些技能和技術到您自己的項目中所需的能力。

購買印刷版書籍將包含一本免費的電子書,可在PDF、Kindle和ePub格式中獲得,由Manning Publications提供。

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)

Alexander Zai 是亞馬遜 AI 的機器學習工程師,負責開發 MXNet,該框架為一系列 AWS 機器學習產品提供支援。

Brandon Brown 是 outlace.com 的機器學習和數據分析博主,致力於為新手提供關於困難主題的清晰教學。