Safe Learning-Based Adaptive Augmentation Control for Fixed-Wing UAV under Uncertainty
The episode discusses a paper on Safe Learning-Based Adaptive Augmentation Control for Fixed-Wing UAVs under Uncertainty. Hosts discuss how reinforcement learning can learn control adaptations to handle uncertainties, focusing on using observation stacking, pseudo control hedging (PCH) to decouple the learning agent from safety filters, and disturbance observers to reduce conservatism.