Multiagent reinforcement learning scheduling optimization for airport special vehicles under dynamic uncertainty
The scheduling efficiency of airport special vehicles directly determines ground-handling quality and flight punctuality. Conventional methods rely heavily on human experience and static rules, lacking adaptability to dynamic uncertainties involving flights, vehicles, environments, and human-machine interactions. This...