JSTOR Daily

Comparing reinforcement learning approaches for solving game theoretic models: a dynamic ...

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 ...
Forbes

Reinforcement Learning: The Next Big Thing For AI (Artificial Intelligence)?

When it comes to AI, much of the attention has been on deep learning. And for good reason. This part of the AI world has seen great strides, such as with image recognition. But of course, there are ...
Physics World

The pros and cons of reinforcement learning in physical science

Machines that learn like babies: Reinforcement learning expert David Silver speaking at the Heidelberg Laureate Forum on 15 September, 2025. (Courtesy: Bernhard Kreutzer/HLF) Today’s artificial ...
Forbes

Carrot And Stick: How Deep Reinforcement Learning Trains AI Differently

From its earliest days, artificial intelligence (AI) has captivated and enticed the business world with its potential ability to learn not only to imitate humans but to supersede our capabilities. As ...
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 ...
Investopedia

Understanding Machine Learning: Uses, Example

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech, blockchain, ...