metadata
license: mit
tags:
- reinforcement-learning
- finite-element-analysis
- quad-meshing
- computational-geometry
- cad
DMSH-RL Pretrained Model Weights
Pretrained Soft Actor-Critic (SAC) reinforcement learning weights for DMSH-RL: Autonomous Quad Meshing via Multi-Agent Reinforcement Learning.
🔗 Code & Usage
The complete codebase, instructions, and test geometries are hosted on GitHub: 👉 GitHub Repository
📥 Automatic Download
To download these weights automatically into the proper subfolders, follow the setup in the GitHub repository:
# For 2D Planar Meshing:
python Combined_Inference/download_weights.py --repo nexushaiku/dmsh-rl-weights
# For 3D CAD Surface Meshing:
python Combined_Inference_Surface/download_weights.py --repo nexushaiku/dmsh-rl-weights