policy
eda-sim-ai
forUAi · PyTorch
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Overview
Name
eda-sim-ai
Author
forUAi
Framework
PyTorch
License
MIT
Skill type
manipulation
Evidence level
untested
Task description
A state-of-the-art chip placement system that leverages deep learning to outperform traditional EDA tools on PPA (Power, Performance, Area) metrics and runtime. This project implements a phased AI pipeline combining Imitation Learning, GNN-based PPA Surrogate Modeling, and Reinforcement Learning Fin
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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