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This is an implementation of the deep Q network, in attempt to better understand deep reinforcement learning.

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Deep reinforcement learning - projects

This is my course repository, where I put my notes on each subject within reinforcement learning and deep reinforcement learning. Within the DRL-course folder, you find all the small projects I have solved and a note folder. The note folder is for the notes I use to remember and foremost to better learn the underlying subjects.

Feel free to read the notes and take inspiration, but if you do i cannot promis how beautiful it looks unless you use Typora since this is what i wrote them in. The notes are mainly from the course Deep reinforcement learning nanodegree from udacity, but also the book "Grokking Deep Reinforcement Learning" I would highly recommend this book as it is both very informing, but also entertaining to read. So give this a chance and you won't regret it.


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This is an implementation of the deep Q network, in attempt to better understand deep reinforcement learning.

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