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:
https://github.com/llSourcell/Q_Learn...

Adnan's Winning code:
https://github.com/AdnanZahid/Reinfor...

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

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More learning resources:
http://mnemstudio.org/path-finding-q-...
https://ocw.mit.edu/courses/aeronauti...
http://uhaweb.hartford.edu/compsci/cc...
  / deep-reinforcement-learning-demysitifed-ep...  
https://www.cs.cmu.edu/afs/cs/project...
http://cs.stanford.edu/people/karpath...
https://www.quora.com/How-is-policy-i...
http://www0.cs.ucl.ac.uk/staff/d.silv...

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