An Introduction to Deep Reinforcement Learning Paperback / softback
by Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau
Part of the Foundations and Trends® in Machine Learning series
Paperback / softback
Description
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:156 pages
- Publisher:now publishers Inc
- Publication Date:20/12/2018
- Category:
- ISBN:9781680835380
Information
-
Out of stock
- Format:Paperback / softback
- Pages:156 pages
- Publisher:now publishers Inc
- Publication Date:20/12/2018
- Category:
- ISBN:9781680835380
