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Closed-loop control of complex systems using deep Reinforcement Learning

Thibaut Guégan Michele Alessandro Bucci 1 Onofrio Semeraro 2 Laurent Cordier Lionel Mathelin 3, 2 
1 TAU - TAckling the Underspecified
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
2 DATAFLOT - DAta science, TrAnsition, Fluid instabiLity, contrOl, Turbulence
LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
3 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
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Conference papers
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https://hal.archives-ouvertes.fr/hal-03451355
Contributor : Lionel Mathelin Connect in order to contact the contributor
Submitted on : Friday, November 26, 2021 - 2:00:19 PM
Last modification on : Friday, April 1, 2022 - 3:15:59 AM

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  • HAL Id : hal-03451355, version 1

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CNRS | INRIA | LIMSI | CENTRALESUPELEC | INRIA2 | TDS-MACS | UNIV-PARIS-SACLAY | LISN | GS-ENGINEERING | GS-COMPUTER-SCIENCE | LISN-AO | LISN-DATAFLOT

Citation

Thibaut Guégan, Michele Alessandro Bucci, Onofrio Semeraro, Laurent Cordier, Lionel Mathelin. Closed-loop control of complex systems using deep Reinforcement Learning. Euromech colloquium on Machine learning methods for turbulent separated flows, Jun 2021, Paris, France. ⟨hal-03451355⟩

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