Fundamentals of Reinforcement Learning (PDF)
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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
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.
- Autor: Rafael Ris-Ala
- 2023, 1st ed. 2023, 88 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031373456
- ISBN-13: 9783031373459
- Erscheinungsdatum: 14.08.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 6.83 MB
- Ohne Kopierschutz
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