Real-Time Model Calibration with Deep Reinforcement Learning

no code implementations • 7 Jun 2020 • Yuan Tian, Manuel Arias Chao, Chetan Kulkarni, Kai Goebel, Olga Fink

The dynamic, real-time, and accurate inference of model parameters from empirical data is of great importance in many scientific and engineering disciplines that use computational models (such as a digital twin) for the analysis and prediction of complex physical processes.

reinforcement-learning Reinforcement Learning (RL)