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Accelerating Reinforcement Learning controller training for building energy management: A hybrid co-simulation approach

Author(s): (Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China)
ORCID (J. Mike Walker’66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas, USA)
ORCID (Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China)
(J. Mike Walker’66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas, USA)
(The Center for Energy Systems Design (CESD), International Institute for Carbon-Neutral Energy Research (WPI-I2CNER); Kyushu University, Fukuoka, Japan)
Medium: journal article
Language(s): English
Published in: Science and Technology for the Built Environment
Page(s): 1-18
DOI: 10.1080/23744731.2024.2444818
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: 10.1080/23744731.2024.2444818.
  • About this
    data sheet
  • Reference-ID
    10816623
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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