First-principle-like reinforcement learning of nonlinear numerical schemes for conservation laws

Hao-Chen Wang, Meilin Yu, Heng Xiao

In this study, we present a universal nonlinear numerical scheme design method enabled by multi-agent reinforcement learning (MARL). Different from contemporary supervised-learning…