Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.
In a recent article featured in the Chinese Journal of Aeronautics, considering the strong information extraction ability of deep reinforcement learning and the characteristics of interaction with the ...
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