Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Evolutionary reinforcement learning is an exciting frontier in machine learning, combining the strengths of two distinct approaches: reinforcement learning and evolutionary computation. In ...

What if the very techniques we rely on to make AI smarter are actually holding it back? A new study has sent shockwaves through the AI community by challenging the long-held belief that reinforcement ...

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

The psychologists examined how gamblers plan their actions to maximize rewards -- how their so called reinforcement learning works. In the study, participants had to decide between already proven ...

A partnership between a UA psychologist and a Harvard professor has yielded some unexpected insights and discoveries about teenage exploration. UA assistant professor of psychology and cognitive ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning.

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...