In simulation, PPO and SAC agents learn stealthy actuator false-data injection attacks that degrade trajectory tracking and evade a residue-based detector, though no baseline comparison is shown.
APF-CPP: An artificial potential field based multi-robot online coverage path planning approach,
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Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
In simulation, PPO and SAC agents learn stealthy actuator false-data injection attacks that degrade trajectory tracking and evade a residue-based detector, though no baseline comparison is shown.