The Networked Systems research group, led by Proff. Alessandro Di Giorgio and Antonio Pietrabissa, aims at developing control methodologies in the context of networked systems. Besides classical control methods, such as model predictive control, optimal control and robust control, distributed non-cooperative control methods are being developed on the ground of mean-field game theory as well as learning methodologies such as reinforcement learning and deep reinforcement learning.