activity
20182021
most citedRobust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

216 citations · 233 across the 7 of their papers we have counts for

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physics.comp-ph2019

Accelerating Deep Reinforcement Learning strategies of Flow Control through a multi-environment approach

Jean Rabault, Alexander Kuhnle

Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to discover complex Active Flow Control (AFC) strategies [Rabault, J., Kuchta, M., Jensen, A., Reglade…