activity
20192023
most citedRobust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

216 citations · 242 across the 4 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

physics.flu-dyn2020★ 216 cited

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

Hongwei Tang, Jean Rabault, Alexander Kuhnle +2

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,…