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
Rok vydání:	2024
Předmět:	Computer Science - Artificial Intelligence
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:	http://arxiv.org/abs/2403.17395 Zobrazit plný text záznamu View this record from Arxiv