A survey of deep reinforcement learning for fluid mechanics, plus a new result where DRL agents recover the same optimal control-cylinder positions as an adjoint method on a square-cylinder flow.
Physics of fluids 17 (9), 097101
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A review on Deep Reinforcement Learning for Fluid Mechanics
A survey of deep reinforcement learning for fluid mechanics, plus a new result where DRL agents recover the same optimal control-cylinder positions as an adjoint method on a square-cylinder flow.