[tryfonaskam] built PILA—short for Polytrack Imitation Learning Agent, an AI agent designed to play a simple racing game called PolyTrack. Rather than manually programming the agent’s behavior, PILA trains itself through supervised learning, where it observes the gameplay state via screen capture and monitoring the keyboard inputs made by human players as they drive the tracks. It then uses this to guide its own behavior, and learns to play the game by itself. The model receives live frames from the graphics engine while playing, and then predicts the appropriate actions and makes the right keyboard inputs in turn to steer the car through the track. This project reminds us of similar efforts to teach a raw AI how to play Trackmania, or the Drivatar technology in the Forza series of racing games.