Multi-Agent Reinforcement Learning for Multiple Rogue Drone Interception

被引：0
|
作者：
Valianti, Panayiota [1 ]
Malialis, Kleanthis [1 ]
Kolios, Panayiotis [1 ]
Ellinas, Georgios [1 ]
机构：
[1] University of Cyprus, Department of Electrical and Computer Engineering, The Kios Research and Innovation Center of Excellence (KIOS CoE), Nicosia,1678, Cyprus
来源：
2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 | 2023年
基金：
欧盟地平线“2020”;
关键词：
Engineering Village;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Aerial vehicle - Centralised - Communications systems - Control actions - Interference power - Multi-agent reinforcement learning - Performance - Power levels - Public safety - Reinforcement learnings
引用
收藏
页码：1037 / 1044
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