Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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

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 ...

A new paper published 6 July in Intelligent Computing presents the primary challenges of reinforcement learning for intelligent decision-making in complex and dynamic environments. Reinforcement ...

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

The four co-founders of Aampe are scattered across four continents, but the Triangle has become home to the company's largest ...