36 citations · 36 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 36 cited
Reinforcement-learning-based actuator selection method for active flow control
Romain Paris, Samir Beneddine, Julien Dandois
This paper addresses the issue of actuator selection for active flow control by proposing a novel method built on top of a reinforcement learning agent. Starting from a pre-trained…
physics.flu-dyn2020
Robust flow control and optimal sensor placement using deep reinforcement learning
Romain Paris, Samir Beneddine, Julien Dandois
This paper focuses on a drag-reducing control strategy on a 2D-simulated laminar flow past a cylinder. Deep reinforcement learning algorithms have been implemented to discover effi…