Towards Conflict Resolution with Deep Multi-Agent Reinforcement Learning R Isufaj, D Aranega Sebastia, MA Piera 14th USA/Europe Air Traffic Management Research and Development Seminar …, 2021 | 25 | 2021 |
Spatiotemporal graph indicators for air traffic complexity analysis R Isufaj, T Koca, MA Piera Aerospace 8 (12), 364, 2021 | 21 | 2021 |
Multi-uav conflict resolution with graph convolutional reinforcement learning R Isufaj, M Omeri, MA Piera Applied Sciences 12 (2), 610, 2022 | 17 | 2022 |
From single aircraft to communities: A neutral interpretation of air traffic complexity dynamics R Isufaj, M Omeri, MA Piera, J Saez Valls, CE Verdonk Gallego Aerospace 9 (10), 613, 2022 | 6 | 2022 |
Quantifying Well Clear for autonomous small UAS M Omeri, R Isufaj, RM Ortiz IEEE Access 10, 68365-68383, 2022 | 4 | 2022 |
Does personalization help? Predicting how social situations affect personal values I Kola, R Isufaj, CM Jonker HHAI2022: Augmenting Human Intellect, 157-170, 2022 | 4 | 2022 |
Strategies to Mitigate Tight Spatial Bounds Between Conflicts in Dense Traffic Situations T Koca, R Isufaj, MA Piera 9th SESAR Innovation Days, Athens, Greece, 2019 | 2 | 2019 |
Does Personalization Help? Predicting How Social Situations Affect Personal Values K Ilir, R ISUFAJ, CM JONKER | 1 | 2022 |
Towards unified air traffic complexity management through graph theory and artificial intelligence R Isufaj | 1 | 2022 |