An Open-source End-to-End Logic Optimization Framework for Large-scale Boolean Network with Reinforcement Learning

We propose an open-source end-to-end logic optimization framework for large-scale boolean network with reinforcement learning.

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Bibliographic Details
Published in:arXiv.org 2024-03
Main Authors: Li, Zhen, Zhu, Kaixiang, Zhou, Xuegong, Wang, Lingli
Format: Article
Language:English
Subjects:
Optimization
Online Access:Get full text
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Description
Summary:We propose an open-source end-to-end logic optimization framework for large-scale boolean network with reinforcement learning.
ISSN:2331-8422