In this video, I go over the history of reinforcement learning then talk about how a type of reinforcement learning called Q learning works. We'll then write a 10 line python script for a Q learning bot in a 5x5 grid that will help it go from point A to point B as fast as possible.

The coding challenge for this video is here:
https://github.com/llSourcell/q_learning_demo

More Learning resources:
http://hunch.net/~jl/projects/RL/RLTheoryTutorial.pdf
http://www2.econ.iastate.edu/tesfatsi/RLUsersGuide.ICAC2005.pdf
https://www.quora.com/What-are-some-good-tutorials-on-reinforcement-learning
http://burlap.cs.brown.edu/tutorials/cpl/p3.html
http://outlace.com/Reinforcement-Learning-Part-1/
http://firsttimeprogrammer.blogspot.com/2016/09/getting-ai-smarter-with-q-learning.html

Join us in our Slack channel:
http://wizards.herokuapp.com/

In the last live stream I said there would be a big reveal, that reveal is coming next Friday (1/13).

Please subscribe! and like. And comment. That's what keeps me going.

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz