Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autor principal: Jiang, Z.
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866914577390764032
author Jiang, Z.
author_facet Jiang, Z.
contents This paper proposes a Shared Backbone Proximal Policy Optimization (Shared Backbone PPO) algorithm. By sharing the base module between the Actor and Critic networks, the algorithm achieves efficient training and improved performance. The algorithm is implemented in a connectivity-preserving multi-UAV swarm communication coverage task and compared with the standard PPO algorithm. Experimental results demonstrate that the proposed method achieves superior performance. Furthermore, a graph information aggregation module is incorporated into the model architecture to accommodate the communication conditions among agents. With the integration of this module, the algorithm remains effective, and the trained agent swarm exhibits a higher level of cooperation.
format Preprint
id arxiv_https___arxiv_org_abs_2605_17999
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation
Jiang, Z.
Artificial Intelligence
This paper proposes a Shared Backbone Proximal Policy Optimization (Shared Backbone PPO) algorithm. By sharing the base module between the Actor and Critic networks, the algorithm achieves efficient training and improved performance. The algorithm is implemented in a connectivity-preserving multi-UAV swarm communication coverage task and compared with the standard PPO algorithm. Experimental results demonstrate that the proposed method achieves superior performance. Furthermore, a graph information aggregation module is incorporated into the model architecture to accommodate the communication conditions among agents. With the integration of this module, the algorithm remains effective, and the trained agent swarm exhibits a higher level of cooperation.
title Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation
topic Artificial Intelligence
url https://arxiv.org/abs/2605.17999