An Introduction to Deep Reinforcement 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.

Product details

• Authors: Marc G. Bellemare, Vincent Francois-Lavet, Vincent François-Lavet, Peter Henderson, Riashat Islam, Joelle Pineau
• Publisher: Now Publishers Inc
• Languages: English
• Product format: Paperback / Softback
• Released: 31.03.2019
• EAN: 9781680835380
• ISBN: 978-1-68083-538-0
• No. of pages: 156
• Dimensions: 156 mm x 234 mm x 9 mm
• Weight: 248 g
• Series: Foundations and Trends(r) in M; Foundations and Trends(r) in M; Foundations and Trends (R) in Machine Learning; Foundations and Trends (R) in Machine Learning
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT