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We'll learn how to solve the multi-armed bandit problem (maximizing success for a given slot machine) using a reinforcement learning technique called policy gradients. Code for this video: https://github.com/llSourcell/how_to_... Mike's winning code: https://github.com/xkortex/Siraj_Chat... Vishal's runner up code: https://github.com/erilyth/DeepLearni... this coding challenge was really close, so i'm also going to put code for 3rd place just this time (Eibriel): https://github.com/Eibriel/ice-cream-... Please Subscribe! And like. And comment. That's what keeps me going. More Learning resources: http://karpathy.github.io/2016/05/31/rl/ http://minpy.readthedocs.io/en/latest... http://pemami4911.github.io/blog/2016... http://kvfrans.com/simple-algoritms-f... / super-simple-reinforcement-learning-tutori... https://dataorigami.net/blogs/napkin-... Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: / sirajraval Facebook: / sirajology 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: Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz