Deep reinforcement learning is much more complicated than the other branches of machine learning. But in this post, I’ll try to demystify it without going into the technical details.

Machine learning has actually been around since 1956. Arthur Samuel didn’t want to write a highly-detailed, lengthy program that could enable a computer to beat him in a game of checkers.

This noncommittal oddity is part of what makes quantum computing so powerful. Take our reinforcement learning example of navigating a new campsite. In our classic world, we—and our AI—need to decide ...

Reinforcement learning teaches an AI how to behave in different situations by giving it rewards for doing the right thing. Eventually the AI learns a plan for action, known as a policy.

A number of the announcements revolved around machine learning, which has grown into a real money-maker for the Seattle, Washington-based company. According to Jassy, tens of thousands of companies ...

A new model uses powerful artificial intelligence to reduce traffic at intersections, making vehicles significantly more ...