Guo, Y., Xu, D., Wang, C., Li, J., & Long, H. (2025). An invulnerable leader–follower collision-free unmanned aerial vehicle flocking system with attention-based Multi-Agent Reinforcement Learning. Engineering Applications of Artificial Intelligence, 160(Part C). https://doi.org/10.1016/j.engappai.2025.111797
ISO-690 (author-date, English)GUO, Yunxiao, XU, Dan, WANG, Chang, LI, Jinxi und LONG, Han, 2025. An invulnerable leader–follower collision-free unmanned aerial vehicle flocking system with attention-based Multi-Agent Reinforcement Learning. Engineering Applications of Artificial Intelligence. 27 November 2025. Vol. 160, no. Part C, . DOI 10.1016/j.engappai.2025.111797.
Modern Language Association 9th editionGuo, Y., D. Xu, C. Wang, J. Li, und H. Long. „An Invulnerable leader–follower Collision-Free Unmanned Aerial Vehicle Flocking System With Attention-Based Multi-Agent Reinforcement Learning“. Engineering Applications of Artificial Intelligence, Bd. 160, Nr. Part C, November 2025, https://doi.org/10.1016/j.engappai.2025.111797.
Mohr Siebeck - Recht (Deutsch - Österreich)Guo, Yunxiao/Xu, Dan/Wang, Chang/Li, Jinxi/Long, Han: An invulnerable leader–follower collision-free unmanned aerial vehicle flocking system with attention-based Multi-Agent Reinforcement Learning, Engineering Applications of Artificial Intelligence 2025,
Emerald - HarvardGuo, Y., Xu, D., Wang, C., Li, J. und Long, H. (2025), „An invulnerable leader–follower collision-free unmanned aerial vehicle flocking system with attention-based Multi-Agent Reinforcement Learning“, Engineering Applications of Artificial Intelligence, Vol. 160 No. Part C, verfügbar unter:https://doi.org/10.1016/j.engappai.2025.111797.