2026
Competitive Learning for Autonomous Flight
RA-L 2026
The competition among a swarm often brings about astonishing potential beyond the ordinary. This paper proposes an approach for enhancing autonomous obstacle avoidance in aerial robots through competitive training. By constructing a multi-agent environment, we introduce competition between individua