AI agents independently developing soccer positions

Amanda Prorok and her team tested whether AI agents would develop role specialization on their own in a simulated soccer game. The agents could either all learn the same behavior or specialize into different roles.

They eventually formed distinct positions, including attackers and a goalkeeper that stayed back and defended the goal. The system was never told that this was how humans play soccer. It learned that behavior through reinforcement learning.