Hypernetwork-conditioned RL policies improve robustness to actuator failures in fixed-wing aircraft control and generalize to time-varying failure modes not seen during training.
A comprehensive analytical tool for control validation of fixed-wing unmanned aircraft
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Hypernetwork-Conditioned Reinforcement Learning for Robust Control of Fixed-Wing Aircraft under Actuator Failures
Hypernetwork-conditioned RL policies improve robustness to actuator failures in fixed-wing aircraft control and generalize to time-varying failure modes not seen during training.