Test Your Skills Against an AI Air Hockey Robot

Teaching a robot to play air hockey is tricky enough when you let it practice against a real table. Hudson Nock and a small team took the harder road instead, training their agent entirely inside a simulator and then loading the finished policy onto physical hardware, where it went on to play a human with no real-world tuning at all. In machine learning terms that is a zero-shot transfer, and getting one to work on a game this fast and chaotic is genuinely hard.

What earns this project a closer look is the writeup behind it. A lot of builds like this get a short blurb and a clip, but this one ships with two lengthy technical reports (part one and part two)spanning roughly sixteen months of work, backed by a README that walks through every subsystem in turn. Between them they cover the simulation, the camera calibration,...

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