Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter

Ruben Villarreal, Nikolaos N. Vlassis, Nhon N. Phan +5

Experimental data is costly to obtain, which makes it difficult to calibrate complex models. For many models an experimental design that produces the best calibration given a limit…