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20172022
most citedAccelerating Deep Reinforcement Learning strategies of Flow Control through a multi-environment approach

218 citations · 811 across the 15 of their papers we have counts for

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physics.flu-dyn2022★ 60 cited

Comparative analysis of machine learning methods for active flow control

Fabio Pino, Lorenzo Schena, Jean Rabault +1

Machine learning frameworks such as Genetic Programming (GP) and Reinforcement Learning (RL) are gaining popularity in flow control. This work presents a comparative analysis of th…