The blue AI uses Q-learning to navigate to random 🎯 targets on the board. It learns optimal paths by trial and error, receiving rewards based on efficiency: (distance × 2) - steps taken. The AI balances exploration (trying new moves) with exploitation (using learned knowledge) to maximize its score over time.