Research on Decision-Making Strategies for Multi-Agent UAVs in Island Missions Based on Rainbow Fusion MADDPG Algorithm

To address the limitations of the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm in autonomous control tasks including low convergence efficiency, poor training stability, inadequate adaptability of confrontation strategies, and challenges in handling sparse reward tasks—this pape...

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Veröffentlicht in:	Drones (Basel) Jg. 9; H. 10; S. 673
Hauptverfasser:	Yang, Chaofan, Zhang, Bo, Zhang, Meng, Wang, Qi, Zhu, Peican
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2025
Schlagworte:	Algorithms Analysis Behavior Cloning Collaboration Control algorithms Control tasks Convergence Decision making Deep learning Drone aircraft Efficiency Expected values Game theory Immune system MADDPG Missions Modules multi-agent Multi-agent systems multi-step TD update Multiagent systems Optimization prioritized experience replay rainbow Rainbows reinforcement learning Simulation Stability Strategy Teaching methods China
ISSN:	2504-446X, 2504-446X
Online-Zugang:	Volltext
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