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Deep Reinforcement Learning Hands-On by Maxim Lapan

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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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