Transferable aircraft trajectory prediction with generative deep imitation learning von Kravaris, Theocharis, Vouros, George A.

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Hierarchical multiagent reinforcement learning schemes for air traffic management von Spatharis, Christos, Bastas, Alevizos, Kravaris, Theocharis, Blekas, Konstantinos, Vouros, George A., Cordero, Jose Manuel

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Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management von Kravaris, Theocharis, Lentzos, Konstantinos, Santipantakis, Georgios, Vouros, George A., Andrienko, Gennady, Andrienko, Natalia, Crook, Ian, Garcia, Jose Manuel Cordero, Martinez, Enrique Iglesias

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Learning Policies for Resolving Demand-Capacity Imbalances During Pre-tactical Air Traffic Management von Kravaris, Theocharis, Vouros, George A., Spatharis, Christos, Blekas, Konstantinos, Chalkiadakis, Georgios, Garcia, Jose Manuel Cordero

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Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning von Bastas, Alevizos, Kravaris, Theocharis, Vouros, George A

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Data Driven Aircraft Trajectory Prediction with Deep Imitation Learning von Alevizos Bastas, Theocharis Kravaris, Vouros, George A

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Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods von Kravaris, Theocharis, Spatharis, Christos, Bastas, Alevizos, Vouros, George A, Blekas, Konstantinos, Andrienko, Gennady, Andrienko, Natalia, Garcia, Jose Manuel Cordero

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Resolving Congestions in the Air Traffic Management Domain via Multiagent Reinforcement Learning Methods von Theocharis Kravaris, Spatharis, Christos, Alevizos Bastas, Vouros, George A, Blekas, Konstantinos, Andrienko, Gennady, Andrienko, Natalia, Cordero Garcia, Jose Manuel

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