Extreme events such as earthquakes can readily cause structural damage and operational disturbances in power grids, thereby weakening the system’s supply stability and recovery capability and posing ...

In the digital realm, ensuring the security and reliability of systems and software is of paramount importance. Fuzzing has emerged as one of the most effective testing techniques for uncovering ...

This piece of codes leverages deep reinforcement learning in stock portfolio management. The reward for agents is the net unrealized profit evaluated at each action step - the stocks are still in ...

Why is this important? This upgrade will allow users to pull source material directly from their Gmail, Drive, or Chat, eliminating the need to manually download and upload files. Why should I care?

Optimizing the operation of interconnected hydropower systems presents significant challenges due to complex non-linear dynamics, hydrological uncertainty, and the need to balance competing objectives ...

Enhancing heat transfer in turbulent flows is vital for energy systems and industrial processes, yet conventional methods yield limited gains. We demonstrate how artificial intelligence autonomously ...

Reinforcement Learning implementation to generate parameters of sinusoidal curves that, through an LQR and Proportional controller, generate the angles for a simulated robot to walk ...