157 citations · 214 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2023★ 157 cited
Recent advances in applying deep reinforcement learning for flow control: perspectives and future directions
Colin Vignon, Jean Rabault, Ricardo Vinuesa
Deep reinforcement learning (DRL) has been applied to a variety of problems during the past decade, and has provided effective control strategies in high-dimensional and non-linear…
physics.flu-dyn2023★ 57 cited
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need
Colin Vignon, Jean Rabault, Joel Vasanth +3
Rayleigh-Bénard convection (RBC) is a recurrent phenomenon in several industrial and geoscience flows and a well-studied system from a fundamental fluid-mechanics viewpoint. Howeve…