Wow. This is crazy.
A developer trained an AI agent in simulation and deployed it onto a real robotic air hockey table using reinforcement learning.
This robot can track the puck with millimeter-level accuracy and react in roughly 20 milliseconds, fast enough to challenge even skilled human players.
We’re moving from robots that follow programmed rules to machines that learn strategies in simulation and execute them in the physical world.