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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.03610 |
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| _version_ | 1866915575341514752 |
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| author | Thacher, Will Persson, Per-Olof Pan, Yulong |
| author_facet | Thacher, Will Persson, Per-Olof Pan, Yulong |
| contents | In this work we introduce a triangular Delaunay mesh generator that can be trained using reinforcement learning to maximize a given mesh quality metric. Our mesh generator consists of a graph neural network that distributes and modifies vertices, and a standard Delaunay algorithm to triangulate the vertices. We explore various design choices and evaluate our mesh generator on various tasks including mesh generation, mesh improvement, and producing variable resolution meshes. The learned mesh generator outputs meshes that are comparable to those produced by Triangle and DistMesh, two popular Delaunay-based mesh generators. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_03610 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimization of a Triangular Delaunay Mesh Generator using Reinforcement Learning Thacher, Will Persson, Per-Olof Pan, Yulong Computational Geometry In this work we introduce a triangular Delaunay mesh generator that can be trained using reinforcement learning to maximize a given mesh quality metric. Our mesh generator consists of a graph neural network that distributes and modifies vertices, and a standard Delaunay algorithm to triangulate the vertices. We explore various design choices and evaluate our mesh generator on various tasks including mesh generation, mesh improvement, and producing variable resolution meshes. The learned mesh generator outputs meshes that are comparable to those produced by Triangle and DistMesh, two popular Delaunay-based mesh generators. |
| title | Optimization of a Triangular Delaunay Mesh Generator using Reinforcement Learning |
| topic | Computational Geometry |
| url | https://arxiv.org/abs/2504.03610 |