Hierarchical Deep Reinforcement Learning with Reward Shaping for Fixed-Wing Multi-UAV Trajectory Tracking and Collision Avoidance
Trajectory tracking for fixed-wing unmanned aerials (UAVs) in obstacle-cluttered environments remains a formidable challenge due to their inherent non-holonomic kinematic constraints. This problem is further exacerbated in dense multiUAV scenarios, where the system must navigate complex spatial geometries to simultaneo...