In our previous study 1, subjects carried out an attentionally demanding letter-identification task 7 in the fovea while a coherently moving, random-dot display that was below the visibility threshold ...

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.

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A ...