most citedDeep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes

2 citations · 4 across the 2 of their papers we have counts for

collaborators

1 paper

physics.flu-dyn2022★ 2 cited

Deep reinforcement learning for flow control exploits different physics for increasing Reynolds-number regimes

Pau Varela, Pol Suárez, Francisco Alcántara-Ávila +6

Deep artificial neural networks (ANNs) used together with deep reinforcement learning (DRL) are receiving growing attention due to their capabilities to control complex problems. T…