A sufficient-condition algorithm certifies boundedness of a closed-loop neural-network control system under l-infinity-bounded persistent adversarial perturbation, without requiring Lipschitz continuity of the policy.
Learning deep control policies for autonomous aerial vehicles with mpc-guided policy search,
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Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
A sufficient-condition algorithm certifies boundedness of a closed-loop neural-network control system under l-infinity-bounded persistent adversarial perturbation, without requiring Lipschitz continuity of the policy.