Deep Q Learning w DQN Reinforcement Learning p5

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=aCEvtRtNO-M

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 • Please Subscribe! And like. And comment. That's what keeps me going. • Want more inspiration education? Connect with me: • Twitter: / sirajraval • Facebook: / sirajology • • 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... • Join us in the Wizards Slack channel: • http://wizards.herokuapp.com/ • And please support me on Patreon: • https://www.patreon.com/user?u=3191693 Instagram: / sirajraval Instagram: / 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

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