• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

LE VAN AN  LE VAN・AN

ORCIDConnect your ORCID iD *help
Researcher Number 90979121
Affiliation (Current) 2026: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 産総研特別研究員
Affiliation (based on the past Project Information) *help 2023 – 2024: 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 産総研特別研究員
Review Section/Research Field
Principal Investigator
1001:Information science, computer engineering, and related fields
Keywords
Principal Investigator
Quality of Service / MARL / Multi-Agent Systems / Reinforcement Learning / Scalability / Automatic network / Machine Learning / Multi-agent learning / Network automation / Reinforcement learning / Traffic engineering / Network routing
  • Research Projects

    (1 results)
  • Research Products

    (3 results)
  •  Self-adaptive and Cooperative Multi-agent Reinforcement Learning-based Network Traffic ControlPrincipal Investigator

    • Principal Investigator
      LE VAN AN
    • Project Period (FY)
      2023 – 2024
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      1001:Information science, computer engineering, and related fields
    • Research Institution
      National Institute of Advanced Industrial Science and Technology

All 2024

All Journal Article Presentation

  • [Journal Article] Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training2024

    • Author(s)
      Le Van An、Long Nguyen Duc、Le Nguyen Phi、Ji Yusheng
    • Journal Title

      2024 33rd International Conference on Computer Communications and Networks (ICCCN)

      Volume: - Pages: 1-9

    • DOI

      10.1109/icccn61486.2024.10637556

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K19982
  • [Presentation] Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training2024

    • Author(s)
      Le Van An
    • Organizer
      The 33rd International Conference on Computer Communications and Networks (ICCCN 2024)
    • Data Source
      KAKENHI-PROJECT-23K19982
  • [Presentation] Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training2024

    • Author(s)
      LE VAN AN
    • Organizer
      2024 33rd International Conference on Computer Communications and Networks (ICCCN)
    • Data Source
      KAKENHI-PROJECT-23K19982

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi