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NACA Airfoil optimization with Deep Reinforcement Learning
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Optimization of a NACA airfoil using Deep Reinforcement Learning (DRL).
Computations : Inviscid panel method
DRL: Proximal policy optimization implemented with Tensorflow 2.0
In this case I decided to use lift coefficient only as the reward, no drag considered.(NB inviscid panel method can only compute lift and pressure coefficient)
It is why at the end I obtain the thick airfoil : NACA8940
Computations : Inviscid panel method
DRL: Proximal policy optimization implemented with Tensorflow 2.0
In this case I decided to use lift coefficient only as the reward, no drag considered.(NB inviscid panel method can only compute lift and pressure coefficient)
It is why at the end I obtain the thick airfoil : NACA8940
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