An Open-source End-to-End Logic Optimization Framework for Large-scale Boolean Network with Reinforcement Learning
Autor: | Li, Zhen, Zhu, Kaixiang, Zhou, Xuegong, Wang, Lingli |
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Rok vydání: | 2024 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | We propose an open-source end-to-end logic optimization framework for large-scale boolean network with reinforcement learning. Comment: 5 pages, 4 figures, 1 table |
Databáze: | arXiv |
Externí odkaz: |