Open access
Sep 2026
Dynamic RCS-Based Deep Reinforcement Learning Path Planning for Fixed-Wing UAVs in Complex Environments
A deep reinforcement learning-based path planning framework is developed, in which the Soft Actor-Critic (SAC) algorithm is employed to solve the penetration task under dynamic RCS constraints, with SAC achieving the shortest mean penetration time among successful trials.
Zhao Xu, Yi-Yang Ma, Chang Liu et al.
· Aerospace · 0 citations