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Multiagent reinforcement learning methods to resolve demand capacity balance problems

Spatharis Christos, Kravaris Theocharis, Vouros, George A, Blekas Konstantinos D., Chalkiadakis Georgios, García José Manuel Cordero, Fernandez Esther Calvo

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/491D12EE-D6EB-4D31-B04E-6A25CE948AD5-
Αναγνωριστικόhttps://doi.org/10.1145/3200947.3201010-
Αναγνωριστικόhttps://dl.acm.org/citation.cfm?id=3201010-
Γλώσσαen-
Μέγεθος9 pagesen
ΤίτλοςMultiagent reinforcement learning methods to resolve demand capacity balance problemsen
ΔημιουργόςSpatharis Christosen
ΔημιουργόςKravaris Theocharisen
ΔημιουργόςVouros, George Aen
ΔημιουργόςBlekas Konstantinos D.en
ΔημιουργόςChalkiadakis Georgiosen
ΔημιουργόςΧαλκιαδακης Γεωργιοςel
ΔημιουργόςGarcía José Manuel Corderoen
ΔημιουργόςFernandez Esther Calvoen
ΕκδότηςAssociation for Computing Machineryen
ΠερίληψηIn this article, we explore the computation of joint policies for autonomous agents to resolve congestions problems in the air traffic management (ATM) domain. Agents, representing flights, have limited information about others’ payoffs and preferences, and need to coordinate to achieve their tasks while adhering to operational constraints. We formalize the problem as a multiagent Markov decision process (MDP) towards deciding flight delays to resolve demand and capacity balance (DCB) problems in ATM. To this end, we present multiagent reinforcement learning methods that allow agents to interact and form own policies in coordination with others. Experimental study on real-world cases, confirms the effectiveness of our approach in resolving the demand-capacity balance problem.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2019-08-30-
Ημερομηνία Δημοσίευσης2018-
Θεματική ΚατηγορίαAir Traffic Managementen
Θεματική ΚατηγορίαCongestion problemsen
Θεματική ΚατηγορίαDemand Capacity Balanceen
Θεματική ΚατηγορίαMulti-agent reinforcement learningen
Βιβλιογραφική ΑναφοράC. Spatharis, T. Kravaris, G. A. Vouros, K. Blekas, G. Chalkiadakis, J.M.C. Garcia and E.C. Fernandez, "Multiagent reinforcement learning methods to resolve demand capacity balance problems," in 10th Hellenic Conference on Artificial Intelligence, 2018. doi: 10.1145/3200947.3201010en

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