News

Microsoft’s new AI framework trains powerful reasoning models with a fraction of the cost

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...
Forbes6y

Artificial Intelligence: What Is Reinforcement Learning - A Simple Explanation & Practical Examples

At the core of reinforcement learning is the concept that the optimal behavior or action is reinforced by a positive reward. Similar to toddlers learning how to walk who adjust actions based on the ...

SimpleTIR: How to Achieve Stable Learning in Multi-Turn Tool Invocation with Large Models?

This phenomenon is akin to asking someone who is only familiar with Shakespeare's works to suddenly write in Martian, resulting in a flawed output. This 'pollution' process amplifies during multi-turn ...
EurekAlert!5d

Reinforcement learning is making a buzz in space

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...
Forbes6y

Artificial Intelligence: What's The Difference Between Deep Learning And Reinforcement Learning?

The various cutting-edge technologies that are under the umbrella of artificial intelligence are getting a lot of attention lately. As the amount of data we generate continues to grow to mind-boggling ...
JSTOR Daily1y

Comparing reinforcement learning approaches for solving game theoretic models: a dynamic airline pricing game example

Games can be easy to construct but difficult to solve due to current methods available for finding the Nash Equilibrium. This issue is one of many that face modern game theorists and those analysts ...
VentureBeat5y

Why supervised learning is more common than reinforcement learning

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Supervised learning is a more commonly used form of machine learning than ...