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 ...

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 ...

How to effectively design reinforcement activities for the activeflex course to maximise student engagement, by Joy Oettel ActiveFlex teaching provides exciting possibilities for student interaction ...

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...

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 ...

Progress in self-­driving cars and other forms of automation will slow dramatically unless machines can hone skills through experience. Inside a simple computer simulation, a group of self-driving ...

Students whose STEM courses are taught using active learning perform better than those taught with traditional lectures. That was the top-line finding of a widely cited 2014 meta-analysis, and it has ...