Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...
The Robot Report

Flexion to use Series A to build sim-to-real, AI systems powering humanoids

Flexion is using generative AI to build AI models that can automate tasks involving reasoning, writing, and creativity.
Visual Studio Magazine

Q-Learning Using Python

Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be used to solve some types of RL ...
Forbes

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 ...
VentureBeat

Reinforcement learning improves game testing, AI team finds

As game worlds grow more vast and complex, making sure they are playable and bug-free is becoming increasingly difficult for developers. And gaming companies are looking for new tools, including ...
JSTOR Daily

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 ...
Singularity Hub

Quantum Computing and Reinforcement Learning Are Joining Forces to Make Faster AI

Deep reinforcement learning is having a superstar moment. Powering smarter robots. Simulating human neural networks. Trouncing physicians at medical diagnoses and crushing humanity’s best gamers at Go ...
IT Business Edge

Python for Machine Learning: A Tutorial

Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...
MIT Technology Review

What is machine learning?

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...