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AI Playing Games: Crash Course AI #12

2019-11-01

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As we mentioned last episode, one of the best test spaces for building new AI systems are games. This is because games provide a great framework for an AI to learn an objective and slowly improve. In recent years, AI has made huge strides in games from beating Jeopardy! champions to crushing a five-person team in DOTA 2. Today, we’re going to walk you through creating a Tic Tac Toe bot that uses the minimax algorithm to become undefeatable and we’ll talk about evolutionary neural networks like in SethBling’s MarI/O project. Next week we’ll create our very own game and create an AI to master it!

Watch SethBling’s MarI/O video: https://www.youtube.com/watch?v=qv6UVOQ0F44

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Intro
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History of Chess
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Minimax Algorithm
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Monte Carlo
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Watson
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Evolutionary Neural Networks
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Conclusion
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CrashCourse At Crash Course, we believe that high-quality educational videos should be available to everyone for free! Subscribe for weekly videos from our current courses! Right now, we're producing Climate & Energy. The Crash Course team has produced more than 45 courses on a wide variety of subjects, including organic chemistry, literature, world history, biology, philosophy, theater, ecology, and many more! We also recently teamed up with Arizona State University to bring you more courses on the Study Hall channel. Help support Crash Course at Patreon.com/CrashCourse.
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Thought Café our animators
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Games by CrashCourse
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