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Found 2 papers, 1 papers with code
Learning Connectivity-Maximizing Network Configurations
In this letter we propose a data-driven approach to optimizing the algebraic connectivity of a team of robots.
Learning Connectivity for Data Distribution in Robot Teams
To overcome this challenge, we propose a task-agnostic, decentralized, low-latency method for data distribution in ad-hoc networks using Graph Neural Networks (GNN).
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