geograz / Tunnel-automation-with-Reinforcement-Learning-TunnRL-

Code repository for the paper "Reinforcement Learning based Process Optimization and Strategy Development in Conventional Tunneling" by G.H. Erharter, T.F. Hansen, Z. Liu and T. Marcher
MIT License
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code for using the trained model #8

Open tfha opened 4 years ago

tfha commented 4 years ago

Maybe its a silly question, but is the 02_model_tester.py that is the code that should be used to run the model with new unseen data? I.e for prediction of the next action on each timestep.