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 ...

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 ...

In this talk I will discuss first solutions to some of the challenges we face in developing online reinforcement learning (RL) algorithms for use in digital health interventions targeting patients ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

A Hong Kong University of Science and Technology study found that short pre-lecture conversations with AI instructors can match human teachers in improving online learning outcomes. Both methods ...

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 ...