arXiv Machine Learning By Giorgio Maria Cavallazzi, Miguel P\'erez Cuadrado, Alfredo Pinelli

Gradient-free learning of a closed-loop wall controller for turbulent drag reduction

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arXiv:2607. 12626v1 Announce Type: cross Abstract: Closed-loop wall control learnt by multi-agent reinforcement learning can lower skin-friction drag in turbulent channels, but these gradient-based policies are trained on small periodic boxes and exhibit reduced performance when carried over to a larger domain.

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Gradient-free learning of a closed-loop wall controller for turbulent drag reduction

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