Reinforcement learning for automatic quadrilateral mesh generation: A soft actor

Reinforcement learning for automatic quadrilateral mesh generation: A soft actor–critic approach

Published:2023-01 Issue: Volume:157 Page:288-304
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Pan Jie,Huang Jingwei,Cheng Gengdong,Zeng Yong^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference48 articles.

1. CUBIT geometry and mesh generation toolkit 15.2 user documentation;Blacker,2016

2. Paving: a new approach to automated quadrilateral mesh generation;Blacker;International Journal for Numerical Methods in Engineering,1991

3. Bozinovski, S., & Fulgosi, A. (1976). The influence of pattern similarity and transfer learning upon training of a base perceptron b2. Vol. 3, In Proceedings of symposium informatica (pp. 121–126).

4. Neural ordinary differential equations;Chen,2018

5. Constrained delaunay triangulations;Chew;Algorithmica,1989

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