Talks - Using Python to build an AI to play and win SNES StreetFighter II with machine learning

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71.3 hours of video
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Keywords

python machine learning ai artificial intelligence karas tensorflow street fighter 2 python programming computer science pycon neural networks python tutorial

Full Transcript

Hear the story of how we used Python and machine learning to build an artificial intelligence that plays Super StreetFighter II on the Super NES. We'll cover how Python provided the key glue between the SNES emulator and AI, and how the AI was built with gym, keras-rl and tensorflow. We'll show examples of game play and training, and talk about which bot beat which bot in the bot-v-bot tournament we ran. Talk given by Adam Fletcher and Jonathan Mortensen at PyCon 2018. Thanks to PyCon for giving us permission to post this talk. freeCodeCamp is not associated with this talk. We're just excited to bring more exposure to to it! -- Learn to code for free and get a developer job: https://www.freecodecamp.com Read hundreds of articles on programming: https://medium.freecodecamp.com ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp