Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning
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Updated
Dec 28, 2020 - Python
Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning
A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.
Active-flow-control (AFC) environments developed using the Gym-preCICE adapter.
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