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NetForge RL: New Cyber Defense Simulation Environment Released

Researchers have introduced NetForge RL, a new multi-agent simulation environment designed for training reinforcement learning agents in cyber defense scenarios. This environment features procedurally generated networks, an adaptive adversary using self-play, and defenders with noisy, partial observations. NetForge RL supports durative actions and fixed-shape observations, mapping actions to the MITRE ATT&CK framework, and includes five pre-defined scenarios with difficulty settings. AI

IMPACT Provides a specialized environment for training AI agents in complex cyber defense scenarios, potentially advancing AI capabilities in cybersecurity.

RANK_REASON The cluster contains a research paper detailing a new simulation environment for AI research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NetForge RL: New Cyber Defense Simulation Environment Released

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The cluster contains a research paper detailing a new simulation environment for AI research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Igor Jankowski ·

    NetForge RL: A Multi-Agent Simulation Environment for Cyber Defense with Durative Actions

    arXiv:2604.09523v2 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 real…