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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