Adaptive Transient Stepping Policy on Reinforcement Learning-Reference-Cited by-同舟云学术

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Adaptive Transient Stepping Policy on Reinforcement Learning

Published:2023-05-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Symposium of Electronics Design Automation (ISEDA)
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Author:

Xu Liaosong¹,Niu Dan²,Yang Yanlan²,Wang Aofeng¹,Jin Zhou³,Dong Yichao²,Zhang Chuan⁴

Affiliation:

1. School of Microelectronics, Southeast University,Nanjing,China

2. School of Automation, Southeast University,Nanjing,China

3. School of Information Science and Engineering, China University of Petroleum-Beijing, Beijing,Beijing,China

4. School of Information Science and Engineering, Southeast University,Nanjing,China

Funder

Natural Science Foundation of Jiangsu Province of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10218344/10218369/10218535.pdf?arnumber=10218535

Reference18 articles.

1. Machine Learning for Electronic Design Automation: A Survey

2. Application of Deep Learning in Back-End Simulation: Challenges and Opportunities

3. DRiLLS: Deep Reinforcement Learning for Logic Synthesis

4. GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning

5. Efficient time stepping for numerical integration using reinforcement learning;dellnitz;ArXiv Preprint,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radar Signal Recognition Based on CSRDNN Network;IEEE Access;2024

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