Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods

no code implementations • 14 Dec 2019 • Theocharis Kravaris, Christos Spatharis, Alevizos Bastas, George A. Vouros, Konstantinos Blekas, Gennady Andrienko, Natalia Andrienko, Jose Manuel Cordero Garcia

In this article, we report on the efficiency and effectiveness of multiagent reinforcement learning methods (MARL) for the computation of flight delays to resolve congestion problems in the Air Traffic Management (ATM) domain.

Management reinforcement-learning +1