EO-MADDPG: An Improved Reinforcement Learning Approach for Multi-UAV Pursuit–Evasion Games

To advance research in multi-agent reinforcement learning (MARL) for pursuit–evasion scenarios, this paper introduces a novel algorithm called Expert Knowledge and Opponent Modeling Multi-UAV Deep Deterministic Policy Gradient (EO-MADDPG). EO-MADDPG consists of two key components: the integration of...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Xiao Wang, Mengyu Wang, Xueqian Bai, Zhe Ma, Kewu Sun, Jiake Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-03-01
Edice:	Aerospace
Témata:	multi-UAV pursuit–evasion expert knowledge opponent modeling multi-agent reinforcement learning
On-line přístup:	https://www.mdpi.com/2226-4310/13/3/296
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!