572 citations · 649 across the 5 of their papers we have counts for
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physics.flu-dyn2018★ 2 cited
Deep Reinforcement Learning achieves flow control of the 2D Karman Vortex Street
Jean Rabault, Ulysse Reglade, Nicolas Cerardi +2
The Karman Vortex Street has been investigated for over a century and offers a reference case for investigation of flow stability and control of high dimensionality, non-linear sys…
physics.flu-dyn2018★ 572 cited
Artificial Neural Networks trained through Deep Reinforcement Learning discover control strategies for active flow control
Jean Rabault, Miroslav Kuchta, Atle Jensen +2
We present the first application of an Artificial Neural Network trained through a Deep Reinforcement Learning agent to perform active flow control. It is shown that, in a 2D simul…