Exploration strategies for control of chaotic dynamical systems using reinforcement learning - DAta science, TrAnsition, Fluid instabiLity, contrOl, Turbulence Access content directly
Conference Papers Year : 2022

Exploration strategies for control of chaotic dynamical systems using reinforcement learning

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Engineering Sciences [physics]
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Submitted on : Tuesday, November 15, 2022-9:48:40 PM

Last modification on : Friday, November 24, 2023-6:18:34 PM

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hal-03854602 , version 1 (15-11-2022)

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  • HAL Id : hal-03854602 , version 1

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Rémy Hosseinkhan Boucher, Amine Saibi, Michele Alessandro Bucci, Onofrio Semeraro, Lionel Mathelin. Exploration strategies for control of chaotic dynamical systems using reinforcement learning. European Drag Reduction and Flow Control Meeting - EDRFCM 2022, Sep 2022, Paris, France. ⟨hal-03854602⟩

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