Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

1 code implementation • 26 Apr 2020 • Hongwei Tang, Jean Rabault, Alexander Kuhnle, Yan Wang, Tongguang Wang

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).

Fluid Dynamics