Fundamentals of Reinforcement Learning
Ris-Ala, Rafael
- 出版商: Springer
- 出版日期: 2024-08-17
- 售價: $2,170
- 貴賓價: 9.5 折 $2,062
- 語言: 英文
- 頁數: 88
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031373472
- ISBN-13: 9783031373473
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相關分類:
Reinforcement、DeepLearning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges.
Understanding the Fundamentals of Reinforcement Learning will allow you to:
- Understand essential AI concepts
- Gain professional experience
- Interpret sequential decision problems and solve them with reinforcement learning
- Learn how the Q-Learning algorithm works
- Practice with commented Python code
- Find advantageous directions
商品描述(中文翻譯)
人工智慧（AI）應用為我們的生活帶來了靈活性和現代感，而強化學習技術則位於這項技術的最前沿。它在策略遊戲、創意合成和自主運動方面能超越人類競爭者。此外，它才剛開始改變我們的文明。
本書提供了AI的介紹，具體說明了機器學習技術，並探討了強化學習的各個方面，以教學和插圖的方式接近最新概念。它旨在幫助希望參與技術進步的學生以及從事創新應用開發的教授，協助解決學術和工業挑戰。
理解《強化學習基礎》將使您能夠：
- 理解基本的AI概念
- 獲得專業經驗
- 解釋序列決策問題並使用強化學習解決它們
- 學習Q-Learning算法的運作方式
- 使用註解的Python代碼進行實踐
- 尋找有利的方向
作者簡介
Rafael Ris-Ala José Jardim is a professor and researcher in Machine Learning and Research Methodology at the Federal University of Rio de Janeiro (UFRJ) and at Faculdade XP Educação (XPE). He holds a master's degree in Data Science from UFRJ and is currently pursuing his Ph.D. in Artificial Intelligence at the same institution.
He is the author of several articles on Software Engineering and has supervised more than 50 academic papers. He is a recognized journal reviewer for Elsevier and Clarivate and participates in reviewing IEEE scientific papers.
He served as Infrastructure Project Manager at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and was responsible for creating a Data Center. He has more than 10 years of experience in Software Development in the Brazilian Navy.
作者簡介(中文翻譯)
拉斐爾·里斯-阿拉·何塞·雅爾丁是里約熱內盧聯邦大學（UFRJ）及XP教育學院（XPE）機器學習和研究方法論的教授及研究員。他擁有UFRJ的數據科學碩士學位，並目前在同一機構攻讀人工智慧博士學位。
他是多篇有關軟體工程的文章作者，並指導了超過50篇學術論文。他是Elsevier和Clarivate的認可期刊審稿人，並參與IEEE科學論文的審稿工作。
他曾擔任里約熱內盧天主教大學（PUC-Rio）的基礎設施專案經理，負責建立數據中心。他在巴西海軍的軟體開發領域擁有超過10年的經驗。
