108 citations · 229 across the 14 of their papers we have counts for
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physics.flu-dyn2021★ 108 cited
A review on deep reinforcement learning for fluid mechanics: an update
Jonathan Viquerat, Philippe Meliga, Elie Hachem
In the past couple of years, the interest of the fluid mechanics community for deep reinforcement learning (DRL) techniques has increased at fast pace, leading to a growing bibliog…
cs.LG2021★ 8 cited
Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning
Paul Garnier, Théophane Gregoir
Scientifically evaluating soccer players represents a challenging Machine Learning problem. Unfortunately, most existing answers have very opaque algorithm training procedures; rel…