A Reinforcement Learning approach to the location of the non

PDF) A Reinforcement Learning approach to the location of the non-circular critical slip surface of slopes

Application of Reinforcement Learning for Well Location Optimization

Reliability Analyses of Soil Slopes with Multiple Spatially Varying Parameters Using Multi-Input Convolutional Neural Networks, International Journal of Geomechanics

LA solutions of stability numbers for b = 60°: (a) d/H = 1.5, (b) d/H =

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Prediction of Tunnelling-Induced Settlement Trough by Artificial Neural Networks

Deep Reinforcement Learning for Mineral Prospectivity Mapping

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Relationship between slope stability and d/H ratio.

Generating Slip Surfaces Using the Logistic Function Integral, International Journal of Geomechanics

PDF) Reinforcement learning for the face support pressure of tunnel boring machines

Enrico SORANZO, Deputy head, PhD, University of Natural Resources and Life Sciences Vienna, Vienna, boku, Institute of Geotechnical Engineering

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Generating Slip Surfaces Using the Logistic Function Integral, International Journal of Geomechanics

PDF) Application of Reinforcement Learning for Well Location Optimization