A Mechanism-Informed Reinforcement Learning Framework for Airfoil Shape Optimization
The author presents a mechanism-informed reinforcement learning framework for airfoil shape optimization, addressing complexities in optimizing shapes governed by fluid dynamics. The approach integrates Laplacian smoothing, adaptive refinement, and Bézier curves for efficient dimensionality reduction.
