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cs.LG2021
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data
Florian Haselbeck, Dominik G. Grimm
Time series forecasting is a growing domain with diverse applications. However, changes of the system behavior over time due to internal or external influences are challenging. The…
cs.CE2021
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning
Quirin Göttl, Dominik G. Grimm, Jakob Burger
Automated flowsheet synthesis is an important field in computer-aided process engineering. The present work demonstrates how reinforcement learning can be used for automated flowsh…