Scaling Swarm Coordination with GNNs—How Far Can We Go?

The scalability of coordination policies is a critical challenge in swarm robotics, where agent numbers may vary substantially between deployment scenarios. Reinforcement learning (RL) offers a promising avenue for learning decentralized policies from local interactions, yet a fundamental question r...

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Hlavní autoři:	Gianluca Aguzzi, Davide Domini, Filippo Venturini, Mirko Viroli
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	AI
Témata:	multi-agent reinforcement learning swarm robotics graph neural networks scalability
On-line přístup:	https://www.mdpi.com/2673-2688/6/11/282
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