Deep Reinforcement Learning: Frontiers of Artificial Intelligence
暫譯: 深度強化學習：人工智慧的前沿

Sewak, Mohit

Deep Reinforcement Learning: Frontiers of Artificial Intelligence

商品描述

This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code.

This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds - deep learning and reinforcement learning - to tap the potential of 'advanced artificial intelligence' for creating real-world applications and game-winning algorithms.

 

商品描述(中文翻譯)

本書首先通過高度直觀且易於理解的範例和應用介紹強化學習的基本概念，然後介紹使強化學習能夠在多數最先進系統中表現優於人類的前沿研究進展。本書不僅使讀者了解多種先進且創新的演算法，還準備他們能夠在實際程式碼中實現如 Google Deep Mind 所創建的系統。

本書適合那些希望理解並應用結合深度學習和強化學習兩者優勢的高級概念的讀者，以挖掘「先進人工智慧」在創建現實世界應用和贏得遊戲的演算法中的潛力。

作者簡介

Mr. Sewak has been the Lead Data Scientist/Analytics Architect for a number of important international AI/DL/ML software and industry solutions and has also been involved in providing solutions and research for a series of cognitive features for IBM Watson Commerce. He has 14 years of experience working as a solutions architect using technologies like TensorFlow, Torch, Caffe, Theano, Keras, Open AI, SpaCy, Gensim, NLTK, Watson, SPSS, Spark, H2O, Kafka, ES, and others.

 

作者簡介(中文翻譯)

Mr. Sewak 擔任過多個重要國際 AI/DL/ML 軟體及產業解決方案的首席資料科學家/分析架構師，並參與為 IBM Watson Commerce 提供一系列認知功能的解決方案和研究。他擁有 14 年的經驗，作為解決方案架構師，使用過 TensorFlow、Torch、Caffe、Theano、Keras、Open AI、SpaCy、Gensim、NLTK、Watson、SPSS、Spark、H2O、Kafka、ES 等技術。

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