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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. · 0 citations

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