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@TunnRL

Reinforcement learning in tunneling

Joint organization of Norwegian Geotechnical Institute & TU Graz - Institute for Rock Mechanics and Tunnelling to further reinforcement learning for tunneling.

TunnRL - Tunnel automation with reinforcement learning

This organisation is dedicated to push further the application of reinforcement learning for all kind of tunnelling problems.

It was founded in 2020 as a collaboration between the Norwegian Geotechnical Institute and the Institute of Rock Mechanics and Tunnelling of the Graz Unviersity of Technology.

Main contributors so far are Dr. Georg H. Erharter and Mr. Tom Frode Hansen.

Related scientific publications

Erharter, Georg H.; Hansen, Tom F.; Liu, Zhongqiang; Marcher, Thomas (2021): Reinforcement learning based process optimization and strategy development in conventional tunneling. In Automation in Construction 127

DOI: https://doi.org/10.1016/j.autcon.2021.103701

Erharter, Georg H.; Hansen, Tom F (2022): Towards optimized TBM cutter changing policies with reinforcement learning. In Geomechanics and Tunnelling 15(5):665-70

DOI: https://doi.org/10.1002/geot.202200032

Erharter, Georg H.; Hansen, Tom F; Marcher, Thomas (2024): Towards reinforcement learning - driven TBM cutter changing policies. In Automation in Construction xxx

DOI: xxx

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  1. TunnRL_TBM_maintenance TunnRL_TBM_maintenance Public

    Working repository for the code of the TunnRL TBM project

    Python 1

  2. .github .github Public

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  • TunnRL_TBM_maintenance Public

    Working repository for the code of the TunnRL TBM project

    TunnRL/TunnRL_TBM_maintenance’s past year of commit activity
    Python 1 MIT 0 5 0 Updated Jun 19, 2024
  • .github Public
    TunnRL/.github’s past year of commit activity
    0 MIT 0 0 0 Updated Jun 6, 2024

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