Mitigating distribution shift in machine learning-augmented hybrid simulation

Jiaxi Zhao, Qianxiao Li

We study the problem of distribution shift generally arising in machine-learning augmented hybrid simulation, where parts of simulation algorithms are replaced by data-driven surro…