Risk-aware multi-agent deep reinforcement learning for packet routing in ultra-dense LEO satellite networks
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Updated
Jul 20, 2026 - Python
Risk-aware multi-agent deep reinforcement learning for packet routing in ultra-dense LEO satellite networks
Open5gs for Satellite Networks, DeepWiki https://deepwiki.com/root-hbx/open5gs-satellite
Experimental weights optimization for high-speed inference on distributed clusters.
Takes a two line element set (which is used to denote satellites and space objects) and groups them into their respective orbital shells.
Turkish NetSatBench lab guide for setting up and troubleshooting LEO satellite network emulation with Docker, Etcd, VXLAN, tc/netem, and Ubuntu.
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