Overview
We consider a coaching setting where an expert AI teaches a novice human to acquire motor skills for high-speed drone racing. We formulate this problem as a general-sum game, where the AI’s goal is to promote long-term human skill development and independence. By strategically reducing AI assistance and providing demonstrations after the human has experienced failures, the AI coach can foster more effective learning than with static, full assistance. In this case, the AI is no longer a passive “guardian angel” but an active mentor that deliberately orchestrates challenging scenarios as structured learning signals.
Contributors
Haimin Hu, Wei Wang, Antonio Loquercio, and Rahul Mangharam
