Risk-aware multi-agent deep reinforcement learning for packet routing in ultra-dense LEO satellite networks
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Updated
May 25, 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.
Turkish NetSatBench lab guide for setting up and troubleshooting LEO satellite network emulation with Docker, Etcd, VXLAN, tc/netem, and Ubuntu.
Takes a two line element set (which is used to denote satellites and space objects) and groups them into their respective orbital shells.
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