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Deep Reinforcement Learning Hands-On
book

Deep Reinforcement Learning Hands-On

by Oleg Vasilev, Maxim Lapan, Martijn van Otterlo, Mikhail Yurushkin, Basem O. F. Alijla
June 2018
Intermediate to advanced content levelIntermediate to advanced
546 pages
13h 30m
English
Packt Publishing
Content preview from Deep Reinforcement Learning Hands-On

Chapter 1. What is Reinforcement Learning?

Reinforcement Learning is a subfield of machine learning which addresses the problem of automatic learning of optimal decisions over time. This is a general and common problem studied in many scientific and engineering fields.

In our changing world, even problems which look like static input-output problems become dynamic in a larger perspective. For example, consider that you're solving the simple supervised learning problem of pet image classification with two target classes—dog and cat. You've gathered the training dataset and implemented the classifier using your favorite deep learning toolkit, and after a while, the model that has converged demonstrates excellent performance. Good? Definitely! You've ...

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Publisher Resources

ISBN: 9781788834247Supplemental Content