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Welcome to this series on reinforcement learning! We'll start by laying out the absolute basics for building a solid foundation on which we can operate.

We will then progress to more advanced and sophisticated topics that integrate artificial neural networks and deep learning into reinforcement learning. We're also going to get our hands dirty by implementing some cool reinforcement learning projects in code! Without further ado, let’s go!

Sources:
Reinforcement Learning: An Introduction, Second Edition by Richard S. Sutton and Andrew G. Bartow
http://incompleteideas.net/book/RLbook2020.pdf

Playing Atari with Deep Reinforcement Learning by Deep Mind Technologies
https://www.cs.toronto.edu/vmnih/docs/dqn.pdf

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