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Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)
This paper focuses on the active flow control of a computational fluid dynamics simulation over a range of Reynolds numbers using deep reinforcement learning (DRL). More precisely, the proximal policy optimization (PPO) ...