TL;DR本文介绍了一种 AMR 的全新游戏式拓展,使用深度多智能体强化学习算法 VDGN,解决了 AMR 的几个核心挑战,实现了错误和成本度量的全局最优解。
Abstract
adaptive mesh refinement (AMR) is necessary for efficient finite element simulations of complex physical phenomenon, as it allocates limited computational budget based on the need for higher or lower resolution, which varies over space and time. We present a novel formulation of AMR as