activity
20172023
most citedA review on Deep Reinforcement Learning for Fluid Mechanics

108 citations · 317 across the 9 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

physics.flu-dyn2020★ 4 cited

Deep reinforcement learning for the control of conjugate heat transfer with application to workpiece cooling

Elie Hachem, Hassan Ghraieb, Jonathan Viquerat +2

This research gauges the ability of deep reinforcement learning (DRL) techniques to assist the control of conjugate heat transfer systems governed by the coupled Navier--Stokes and…

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…