Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation
The paper presents a new algorithm called Shared Backbone Proximal Policy Optimization (Shared Backbone PPO) for enhancing multi-UAV communication coverage. This algorithm improves training efficiency and performance by sharing a base module between Actor and Critic networks. Experimental results indicate that the proposed method outperforms the standard PPO algorithm while maintaining effective communication among agents.
- ▪The Shared Backbone PPO algorithm is designed for multi-UAV swarm communication tasks.
- ▪It incorporates a graph information aggregation module to enhance communication conditions among agents.
- ▪Experimental results show that the new algorithm achieves superior performance compared to the standard PPO.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.17999 |
| Publication time | Tue, 19 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-19T04:04:57.272Z |
| Last seen | 2026-05-19T04:04:57.272Z |
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| Summary source text | contentText |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Artificial Intelligence arXiv:2605.17999 (cs) [Submitted on 18 May 2026] Title:Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation Authors:Z. Jiang View a PDF of the paper titled Shared Backbone PPO for Multi-UAV Communication Coverage with Connection Preservation, by Z. Jiang View PDF HTML (experimental) Abstract: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.
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