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.

Traditional lectures are efficient at delivering information, especially for large courses with limited teaching support. Lectures, however, are often inefficient at engaging students to create ...