By Abe Haskins (Twitter, Github)In this article, we'll dive into using Unity3D and TensorFlow to teach an AI to perform a simple in-game task: shooting balls into a hoop. The complete source code is available on Github, if you have any questions reach out to me on Twitter.An Introduction to our GameThere is a game where players have one main goal: get a ball into a basket. This doesn't sound that hard, but when your blood is pumping, your heart is racing, the crowd is cheering — well, it gets pretty tough to make that shot. Am I talking about the classic American game of Basketball? No, never heard of it. I'm talking about the classic Midway arcade game NBA Jam.If you've ever played NBA Jam or any of the games it inspired (including the real life NBA league, which I think came after NBA Jam) then you know the mechanic to shoot a ball, from the player's perspective, is fairly simple. You hold and release the shoot button with perfect timing. Have you ever wondered how this shot takes place from the game's perspective though? How is the arc of the ball chosen? How hard is the ball thrown? How does the computer know the angle to shoot at?If you were a smart, math-inclined person you may be able to figure out these answers with pen and paper, however the author of this blog post failed 8th grade algebra, so… those "smart person" answers are out of the question.


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basketball,google-sheets,tensorflow,ai,unity