In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...

Watch an AI agent learn how to balance a stick—completely from scratch—using reinforcement learning! This project walks you ...

ADELPHI, Md. -- Army researchers developed a reinforcement learning approach that will allow swarms of unmanned aerial and ground vehicles to optimally accomplish various missions while minimizing ...

A team of researchers has developed a new method for controlling lower limb exoskeletons using deep reinforcement learning. The method enables more robust and natural walking control for users of ...

In just three months, the crew of three young scientists overcame a swarm of challenges to achieve this groundbreaking advancement in robotic autonomy and space operations. “The APIARY team’s ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...