Attention-Based Population-Invariant Deep Reinforcement Learning for Collision-Free Flocking with A Scalable Fixed-Wing UAV Swarm
A swarm of fixed-wing unmanned aerial vehicles (UAVs) is expected to efficiently accomplish various tasks in complex scenarios. This paper proposes an attention-based population-invariant multi-agent deep reinforcement learning (MADRL) approach to deal with the decentralized collision-free flocking…