Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers

David Huergo, Martín de Frutos, Eduardo Jané +3

We present a novel approach to automate and optimize anisotropic p-adaptation in high-order h/p solvers using Reinforcement Learning (RL). The dynamic RL adaptation uses the evolvi…