arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral
Learning Red Agent Policy from Observations for Neurosymbolic Autonomous Cyber Agents
Publisher summary· verbatim
arXiv:2606.18223v2 Announce Type: replace-cross Abstract: With sophisticated cyber-attacks becoming increasingly prevalent, modern networks require intelligent autonomous cyber-defense agents trained via Reinforcement Learning (RL). These agents employ neurosymbolic approaches such as behavior trees
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Originally published on arxiv ↗