Inproceedings,
Reinforcement Learning for Analog Sizing Optimization.
M. Chevalier, S. Trochut, R. Guizzetti, P. Urard, L. Labrak, J. Samuel, R. Cellier, and N. Abouchi.SMACD, page 1-4. IEEE, (2023)
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- BibTeX key
- conf/smacd/ChevalierTGULSCA23
- entry type
- inproceedings
- booktitle
- SMACD
- year
- 2023
- pages
- 1-4
- publisher
- IEEE
- crossref
- conf/smacd/2023
- ee
- https://doi.org/10.1109/SMACD58065.2023.10192204
- isbn
- 979-8-3503-3265-0
- url
- http://dblp.uni-trier.de/db/conf/smacd/smacd2023.html#ChevalierTGULSCA23
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- please select -%0 Conference Paper
%1 conf/smacd/ChevalierTGULSCA23
%A Chevalier, Michel
%A Trochut, Severin
%A Guizzetti, Roberto
%A Urard, Pascal
%A Labrak, Lioua
%A Samuel, John
%A Cellier, Remy
%A Abouchi, Nacer
%B SMACD
%D 2023
%I IEEE
%K dblp
%P 1-4
%T Reinforcement Learning for Analog Sizing Optimization.
%U http://dblp.uni-trier.de/db/conf/smacd/smacd2023.html#ChevalierTGULSCA23
%@ 979-8-3503-3265-0
@inproceedings{conf/smacd/ChevalierTGULSCA23,
added-at = {2023-09-30T00:00:00.000+0200},
author = {Chevalier, Michel and Trochut, Severin and Guizzetti, Roberto and Urard, Pascal and Labrak, Lioua and Samuel, John and Cellier, Remy and Abouchi, Nacer},
biburl = {https://www.bibsonomy.org/bibtex/2823184746792e49f92bca736859ba6b7/dblp},
booktitle = {SMACD},
crossref = {conf/smacd/2023},
ee = {https://doi.org/10.1109/SMACD58065.2023.10192204},
interhash = {3b194e9d6c7c6b72a1966d0aa9f2155b},
intrahash = {823184746792e49f92bca736859ba6b7},
isbn = {979-8-3503-3265-0},
keywords = {dblp},
pages = {1-4},
publisher = {IEEE},
timestamp = {2024-04-09T19:19:20.000+0200},
title = {Reinforcement Learning for Analog Sizing Optimization.},
url = {http://dblp.uni-trier.de/db/conf/smacd/smacd2023.html#ChevalierTGULSCA23},
year = 2023
}