Fundamentals of Reinforcement Learning - Rafael Ris-Ala

Fundamentals of Reinforcement Learning

(Autor)

Buch | Hardcover
XV, 88 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-37344-2 (ISBN)
74,89 inkl. MwSt

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization.

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


lt;p>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.

Chapter. 1. Introduction.- Chapter. 2. Concepts.- Chapter. 3. Q-Learning algorithm.- Chapter. 4. Development tools.- Chapter. 5. Practice with code.- Chapter. 6. Recent applications and future research.- Index.


Erscheinungsdatum
Zusatzinfo XV, 88 p. 94 illus., 87 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 285 g
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Deep learning • machine learning • Markov Chain • Q-learning Algorithm
ISBN-10 3-031-37344-8 / 3031373448
ISBN-13 978-3-031-37344-2 / 9783031373442
Zustand Neuware
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