English(EN) NetForge RL: A Multi-Agent Simulation Environment for Cyber Defense with Durative Actions

NetForge RL：发布新的网络防御仿真环境

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-15 04:00

研究人员推出了 NetForge RL，这是一个新的多智能体仿真环境，旨在网络防御场景中训练强化学习智能体。该环境具有程序化生成的网络、使用自我对抗的自适应对手，以及具有噪声和部分观察的防御者。NetForge RL 支持持续动作和固定形状的观察，将动作映射到 MITRE ATT&CK 框架，并包含五个具有难度设置的预定义场景。 AI

影响提供了一个专门的环境，用于在复杂网络防御场景中训练 AI 智能体，可能在网络安全领域推进 AI 能力。

排序理由该集群包含一篇详细介绍用于 AI 研究的新仿真环境的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍用于 AI 研究的新仿真环境的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Igor Jankowski · 2026-07-15 04:00

NetForge RL：一种具有持续动作的网络防御多智能体仿真环境

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…

本文如何被排名

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NetForge RL：一种具有持续动作的网络防御多智能体仿真环境

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