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一个多机器人深度Q学习框架,以优先级为基础的铁路站的消毒.

Riccardo Caccavale1, Mirko Ermini2, Eugenio Fedeli3

  • 1Department DIETI, Università degli Study di Napoli "Federico II", via Claudio 21, Naples, 80125 Italy.

Applied intelligence (Dordrecht, Netherlands)
|June 26, 2023
PubMed
概括

本研究介绍了一种使用深度Q学习的多机器人系统,用于消毒繁忙的火车站. 机器人使用WiFi数据来优先考虑拥挤地区的清洁工作,提高公共卫生安全.

关键词:
卷积神经网络是一种卷积神经网络.分散的去中心化.深度Q网络是一个深度Q网络.热地图是一个热地图.多个代理的多个代理.卫生净化 消毒 消毒

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