Q Learning Explained (tutorial)

Can we train an AI to complete it's objective in a video game world without needing to build a model of the world before hand? The answer is yes using Q learning! I'll go through several use cases and show some python code of how Q learning works.

Code for this video:
github.com/llSourcell/Q_Learning_Explained/

Adnan's Winning code:
github.com/AdnanZahid/ReinforcementLearning

Alberto's runner up code:
github.com/alberduris

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More learning resources:
mnemstudio.org/path-finding-q-learning-tutorial…
ocw.mit.edu/courses/aeronautics-and-astronautic…
uhaweb.hartford.edu/compsci/ccli/projects/QLear…
medium.com/@m.alzantot/deep-reinforcement-learn…
cs.cmu.edu/afs/cs/project/jair/pub/volume4/kael…
cs.stanford.edu/people/karpathy/reinforcejs/gri…
quora.com/How-is-policy-iteration-different-fro…
www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching_f…

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