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, ...

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.

Reinforcement learning (RL) is a hugely popular area of deep learning, and many data scientists are exploring this AI technology to broaden their skillet to include a number of important problem ...

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...