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:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. 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 conceptsGain professional experienceInterpret sequential decision problems and solve them with reinforcement learningLearn how the Q-Learning algorithm worksPractice with commented Python codeFind advantageous directions Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783031373442
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 conceptsGain professional experienceInterpret sequential decision problems and solve them with reinforcement learningLearn how the Q-Learning algorithm worksPractice with commented Python codeFind advantageous directions 104 pp. Englisch. N° de réf. du vendeur 9783031373442
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