most citedSingle-step deep reinforcement learning for open-loop control of laminar and turbulent flows

61 citations · 61 across the 1 of their papers we have counts for

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1 paper

math.OC2020★ 61 cited

Single-step deep reinforcement learning for open-loop control of laminar and turbulent flows

H. Ghraieb, J. Viquerat, A. Larcher +2

This research gauges the ability of deep reinforcement learning (DRL) techniques to assist the optimization and control of fluid mechanical systems. It combines a novel, "degenerat…