Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach. (arXiv:2203.11203v2 [cs.LG] UPDATED)

This paper proposes, implements, and evaluates a reinforcement learning
(RL)-based computational framework for automatic mesh generation. Mesh
generation plays a fundamental role in numerical simulations in the area of
computer aided design and engineering (CAD/E). It is identified as one of the
critical issues in the NASA CFD Vision 2030 Study. Existing mesh generation
methods suffer from high computational complexity, low mesh quality in complex
geometries, and speed limitations. These methods and tools, including
commercial software packages, are typically semiautomatic …

actor-critic arxiv mesh reinforcement reinforcement learning