Optimizing Flights of a Fleet of Aircraft Using a Reinforcement Learning Model

A method of optimizing flights of a fleet of aircraft is provided. The method includes accessing flight plans for flights of a fleet of aircraft through an air transportation network, tracking positions and trajectories of one or more aircraft of the fleet that are currently in-flight, and applying the flight plans and the positions and trajectories to a reinforcement learning model configured to determine maneuvers that achieves a respective maximum cumulative value of an operational efficiency metric across the flights of the fleet of aircraft, one or more of the maneuvers constituting a deviation from a respective flight plan. A comparison of respective maximum cumulative values of the operational efficiency metric is performed for the aircraft of the fleet of aircraft, one of the aircraft is selected based on the comparison, and a notification of the deviation from the respective flight plan is sent to the one of the aircraft.