🤖 Skild AI Trains Robots Through Self-Play

Skild AI trained its S1 humanoid in a football simulator, where it played against earlier versions of itself for 140 simulated years. The only reward was scoring goals. No separate rewards were given for learning specific moves.

Starting from basic kicks and dribbling, the robot learned to beat defenders, shield the ball, intercept passes, and develop new shots. In early matches, 4 agents already show passing and coordination. S1 must output joint angles 50 times per second.

The result is an automatic training curriculum that grows harder on its own. Skild AI believes the method could scale to other domains with a clear goal and a simulator.

📊@tech