Grokking Deep Reinforcement Learning (Paperback)
暫譯: 深入理解深度強化學習 (平裝本)

Morales, Miguel

Grokking Deep Reinforcement Learning (Paperback)

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商品描述

We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.

Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field.

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)

我們都是透過試錯來學習的。我們會避免那些讓我們感受到痛苦和失敗的事物，而擁抱並建立在那些帶給我們獎勵和成功的事物之上。這種共同的模式是深度強化學習的基礎：建立能夠根據環境反應進行探索和學習的機器學習系統。

《Grokking Deep Reinforcement Learning》介紹了這種強大的機器學習方法，使用範例、插圖、練習和清晰明瞭的教學。當你深入探索強化學習的基本原理、有效的深度學習技術以及這個新興領域的實際應用時，你會喜愛這種完美的教學節奏和聰明、有趣的寫作風格。

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

Miguel Morales is a Senior Software Engineer at Lockheed Martin, Missile and Fire Control-Autonomous Systems. He is also a faculty member at Georgia Institute of Technology where he works as an Instructional Associate for the Reinforcement Learning and Decision Making graduate course. Miguel has worked for numerous other educational and technology companies including Udacity, AT&T, Cisco, and HPE.

作者簡介(中文翻譯)

米格爾·莫拉萊斯是洛克希德·馬丁公司（Lockheed Martin）導彈與火控自動系統部門的資深軟體工程師。他同時也是喬治亞理工學院（Georgia Institute of Technology）的教職員，擔任強化學習與決策制定研究生課程的教學助理。米格爾曾在多家教育和科技公司工作，包括Udacity、AT&T、思科（Cisco）和HPE。

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