Sub-Resolution Assist Feature Generation with Reinforcement Learning and Transfer Learning-Reference-Cited by-同舟云学术

Sub-Resolution Assist Feature Generation with Reinforcement Learning and Transfer Learning

Published:2022-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
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Author:

Liu Guan-Ting¹,Tai Wei-Chen¹,Lin Yi-Ting¹,Jiang Iris Hui-Ru¹,Shiely James P.²,Cheng Pu-Jen¹

Affiliation:

1. National Taiwan University, Taipei, Taiwan

2. Synopsys, Inc

Funder

Synopsys, Inc.

Taiwan National Science Foundation and Technology Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508352.3549388

Reference19 articles.

1. GAN-SRAF: Subresolution Assist Feature Generation Using Generative Adversarial Networks

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3. Siemens EDA. 2018. Calibre WORKbench User's and Reference Manual. Siemens EDA. 2018. Calibre WORKbench User's and Reference Manual.

4. Siemens EDA. 2018. Standard Verification Rule Format (SVRF) Manual. Siemens EDA. 2018. Standard Verification Rule Format (SVRF) Manual.

5. Lasse Espeholt , Hubert Soyer , Remi Munos , Karen Simonyan , Vlad Mnih , Tom Ward , Yotam Doron , Vlad Firoiu , Tim Harley , Iain Dunning , Shane Legg , and Koray Kavukcuoglu . 2018 . IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. In International Conference on Machine Learning (ICML) , Vol. 80 . 1407--1416. Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Vlad Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, and Koray Kavukcuoglu. 2018. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures. In International Conference on Machine Learning (ICML), Vol. 80. 1407--1416.