AI Research
ASGARD: Action-Space Guard for UAV Resilience via Reinforcement Learning
Securing UAV reinforcement learning policies against malicious action-space overrides.
Reinforcement learning (RL) controllers have been recently adopted for Unmanned Aerial Vehicles (UAV) navigation and control. However, they are susceptible to action-space attacks that overwrite the action commands after the policy generates them and before the actuators execute ...
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ArXiv CS.LG
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2 min
ArXiv CS.LG
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Generated insight by OnAirToday AI
ASGARD enhances UAV security by implementing a robust safeguard against malicious action-space interference that can compromise autonomous flight. This research bridges the gap between high-performance reinforcement learning controllers and the critical need for operational safety in contested environments.
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