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

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

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.

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...