Vittorio Lippi

Learning Changes the World and Then What Was Learned has Changed: Training and Deploying Neural Networks in the Control Loop

Neural networks offer critical adaptability for controlling complex systems where nominal modeling proves intractable. However, when offline-trained neural networks are deployed within closed-loop control systems, their actions fundamentally alter the state distribution upon which they were trained. This paper introduc...