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Publications, Citations, and Research Projects

🛫 Maneuver Strategy Generation for UCAVs

Kong, W., Zhou, D., Yang, Z., Zhang, K., & Zeng, L. (2020).
Maneuver strategy generation of UCAV for within visual range air combat based on multi-agent reinforcement learning and target position prediction.
Applied Sciences, 10(15), 5198.
DOI: 10.3390/app10155198


🛰️ UAV Autonomous Aerial Combat Strategy

Kong, W., Zhou, D., Yang, Z., Zhao, Y., & Zhang, K. (2020).
UAV autonomous aerial combat maneuver strategy generation with observation error based on state-adversarial deep deterministic policy gradient and inverse reinforcement learning.
Electronics, 9(7), 1121.
DOI: 10.3390/electronics9071121


🧠 Harfang3D Dogfight Sandbox as a Research Platform

Özbek, M. M., Yıldırım, S., Aksoy, M., Kernin, E., & Koyuncu, E. (2022).
Harfang3D dog-fight sandbox: A reinforcement learning research platform for the customized control tasks of fighter aircrafts.
arXiv.
DOI: 10.48550/arXiv.2210.07282


🚀 Missile Evasion Maneuver with DeepRL

Özbek, M. M., & Koyuncu, E. (2023).
Missile evasion maneuver generation with model-free deep reinforcement learning.
2023 10th International Conference on Recent Advances in Air and Space Technologies (RAST).
DOI: 10.1109/RAST57548.2023.10197852


🧬 Genetic Algorithm-Based Backstepping Controller

Rodríguez-Abreo, O., Garcia-Guendulain, J. M., Hernández-Alvarado, R., Flores Rangel, A., & Fuentes-Silva, C. (2020).
Genetic algorithm-based tuning of backstepping controller for a quadrotor-type unmanned aerial vehicle.
Electronics, 9(10), 1735.
DOI: 10.3390/electronics9101735