The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this ...

Researchers from chemistry, biology, and medicine are increasingly turning to AI models to develop new hypotheses. However, it is often unclear on which basis the algorithms come to their conclusions ...

Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...

What Is Driving the Shift from Traditional to Digital Learning? The conventional education system—often built on static curricula and lecture-heavy delivery—is no longer enough to meet the evolving ...