Disentangling Linear Quadratic Control with Untrusted ML Predictions Tongxin Li Hao Liu 2

Uncertain perturbations in dynamical systems often arise from diverse resources, represented by latent components. The predictions for these components, typically generated by "black-box" machine learning tools, are prone to inaccuracies.