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Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines

Author(s):


Medium: journal article
Language(s): English
Published in: Tunnelling and Underground Space Technology, , v. 136
Page(s): 105104
DOI: 10.1016/j.tust.2023.105104
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: 10.1016/j.tust.2023.105104.
  • About this
    data sheet
  • Reference-ID
    10725834
  • Published on:
    30/05/2023
  • Last updated on:
    30/05/2023
 
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