Deep Q Learning Pong Tutorial

Learn how to build an AI that plays Pong like a boss, with Deep Q Learning. Discover how neural networks can learn to play challenging video games at superhuman levels by looking at raw pixels.
Code for this tutorial:
github.com/col...
Image recognition tutorial by Siraj:
• How to Make an Image C...
School of AI Move37 Course:
theschool.ai/c...

[@mikepetropavlovskiy8667]

Jeez, these are the most comprehensive tutorials that I've found so far. Thank you soooo much. Everything that is needed is here: overall overview, necessary mathematic, code.

[@digitaldrive1192]

By far the best explanation of this material. You have a knack for explaining this in the simplest terms.

[@anilkurkcu3389]

Hey Colin, when specifying a = max_a(Q(s,a)), I think that the 'argmax' operator would be more suitable, since 'max' is returning a value rather than an action, while 'argmax' returns the action itself that maximizes the term inside the parenthesis.

[@howardnolan3198]

Thank you for making this, very helpful.

[@IntoTheSkyy]

So I think we can all agree that the only good question to be asked is where you got that pic of the cute game playing robot

[@gideonprior4842]

Shouldnt the subscript in step 6 be s' ?

[@karthik-ex4dm]

Can we make it interactive with more diagrams ?

[@billykotsos4642]

This is a nice copy paste from Hands-on Deep Reinforcement Learning.