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GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing.

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Title: GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing.
Authors: Huang, Yi-rui1, Zhang, Jing1, jing165455@126.com, Hou, Hong-ming1, Ye, Xiu-cai2, Chen, Yi3
Source: Future Generation Computer Systems; May2024, Vol. 154, p123-139, 17p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 175457590
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.future.2024.01.001
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 123
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      – TitleFull: GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computing.
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            NameFull: Huang, Yi-rui
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            NameFull: Zhang, Jing
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            NameFull: Hou, Hong-ming
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            NameFull: Ye, Xiu-cai
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            NameFull: Chen, Yi
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            – D: 01
              M: 05
              Text: May2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 0167739X
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              Value: 154
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            – TitleFull: Future Generation Computer Systems
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