Hierarchical Decision Making-Based Intelligent Game Confrontation on UAV Swarm

To address the challenge of decision making in close-range air combat for fixed-wing unmanned air vehicle (UAV) swarms, this paper proposes a distributed Hierarchical Cooperative Soft Actor-Critic with maximum entropy (HC-SAC) framework. A top-level target decision-making and bottom-level maneuverin...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Guannan Chang, Siyuan Ren, Shuna Zhang, Xiaofeng Zhang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-11-01
Sarja:	Aerospace
Aiheet:	hierarchical decision making intelligent game confrontation UAV swarm SAC deep reinforcement learning
Linkit:	https://www.mdpi.com/2226-4310/12/12/1033
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!