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Benefits of Realist Ontologies to Systems Engineering., , , , , , , , и . JOWO, том 2969 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Benchmarking the Processing of Aircraft Tracks with Triples Mode and Self-Scheduling., , , и . HPEC, стр. 1-8. IEEE, (2021)Integrated Conflict Management for UAM With Strategic Demand Capacity Balancing and Learning-Based Tactical Deconfliction., , , и . IEEE Trans. Intell. Transp. Syst., 25 (8): 10049-10061 (августа 2024)Autonomous Separation Assurance in An High-Density En Route Sector: A Deep Multi-Agent Reinforcement Learning Approach., и . ITSC, стр. 3256-3262. IEEE, (2019)Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance., , и . ITSC, стр. 348-354. IEEE, (2021)A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance., , и . CoRR, (2020)Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach., и . CoRR, (2019)Prioritized Sequence Experience Replay., , , и . CoRR, (2019)Ontology of Plays for Autonomous Teaming and Collaboration., , , , , , , , и . ONTOBRAS, том 3050 из CEUR Workshop Proceedings, стр. 9-22. CEUR-WS.org, (2021)Tradeoffs When Considering Deep Reinforcement Learning for Contingency Management in Advanced Air Mobility., , и . CoRR, (2024)