Interception of a Single Intruding Unmanned Aerial Vehicle by Multiple Missiles Using the Novel EA-MADDPG Training Algorithm

This paper proposes an improved multi-agent deep deterministic policy gradient algorithm called the equal-reward and action-enhanced multi-agent deep deterministic policy gradient (EA-MADDPG) algorithm to solve the guidance problem of multiple missiles cooperating to intercept a single intruding UAV...

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Bibliographic Details
Published in:	Drones (Basel) Vol. 8; no. 10; p. 524
Main Authors:	Cai, He, Li, Xingsheng, Zhang, Yibo, Gao, Huanli
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2024
Subjects:	Accuracy action filter Algorithms Buffers Control systems Deep learning Design Drone aircraft Drones Efficiency equal reward setting Guided missiles Human performance Interception Kalman filters Machine learning MADDPG Methods Missiles Multi-agent systems Multiagent systems Neural networks optimal replay buffer Optimization Planning Rockets (Ordnance) Success Unmanned aerial vehicles China
ISSN:	2504-446X, 2504-446X
Online Access:	Get full text
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