arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral
NetForge RL: A Multi-Agent Simulation Environment for Cyber Defense with Durative Actions
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arXiv:2604.09523v3 Announce Type: replace Abstract: Training reinforcement-learning agents for cyber defense requires an environment that reflects the operational setting: noisy, partial observations, several defenders coordinating across a network, and an adaptive adversary realized through self-pl
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Originally published on arxiv ↗