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A meta–reinforcement learning algorithm for traffic signal control to automatically switch different reward functions according to the saturation level of traffic flows

Author(s): (Department of Urban Engineering Chung Ang University Seoul Korea)
(Department of Urban Engineering Chung Ang University Seoul Korea)
(Department of Urban Engineering Chung Ang University Seoul Korea)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 6, v. 38
Page(s): 779-798
DOI: 10.1111/mice.12924
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.12924.
  • About this
    data sheet
  • Reference-ID
    10696437
  • Published on:
    11/12/2022
  • Last updated on:
    19/04/2023
 
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