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An Introduction to Deep Reinforcement Learning: 36 (Foundations and Trends® in Machine Learning)
Vincent François-Lavet
(Author)
·
Peter Henderson
(Author)
·
Riashat Islam
(Author)
·
Now Publishers
· Paperback
An Introduction to Deep Reinforcement Learning: 36 (Foundations and Trends® in Machine Learning) - François-Lavet, Vincent ; Henderson, Peter ; Islam, Riashat
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Synopsis "An Introduction to Deep Reinforcement Learning: 36 (Foundations and Trends® in Machine Learning)"
Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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