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Updated: Jan 7, 2026

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
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The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

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在DDHR架构中的不完整信息下抵抗基于记忆的APT攻击:一种基于RL的 entropy-heterogeneity-Aware调度方法

Xinghua Wu1,2, Mingzhe Wang2, Xiaolin Chang1

  • 1Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, Beijing Jiaotong University, Beijing 100044, China.

Entropy (Basel, Switzerland)
|December 24, 2025
PubMed
概括

新的人工智能驱动的网络威胁,如基于记忆的APT攻击,挑战了关键基础设施安全. 本研究介绍了铁路客运服务系统 (RPSS) 的智能防御调度方法,以有效应对这些不断变化的威胁.

关键词:
在 DHR 架构中,DHR 架构是这是一个翻转游戏.进入的过程中,模仿防御的防守方式强化学习是一种强化学习.

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