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Open AccessCorrection to: Deep reinforcement learning for turbulent drag reduction in channel flows
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Open AccessA dataset of direct observations of sea ice drift and waves in ice
Variability in sea ice conditions, combined with strong couplings to the atmosphere and the ocean, lead to a broad range of complex sea ice dynamics. More in-situ measurements are needed to better identify the ph...
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Article
Open AccessDeep reinforcement learning for turbulent drag reduction in channel flows
We introduce a reinforcement learning (RL) environment to design and benchmark control strategies aimed at reducing drag in turbulent fluid flows enclosed in a channel. The environment provides a framework for...