Where Reinforcement Learning Plus Human Oversight Works Best

When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...
Princeton University

The Neuroscience of Reinforcement Learning

One of the most influential contributions of machine learning to understanding the human brain is the (fairly recent) formulation of learning in real world tasks in terms of the computational ...
Forbes

The Autonomous Advantage: Reinforcement Learning’s Role In The Next Era Of AI

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...
TechCrunch

Deep reinforcement learning will transform manufacturing as we know it

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 ...
Geeky Gadgets

Why Reinforcement Learning Could Be AI’s Biggest Flaw Yet

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 ...
MIT Technology Review

Reinforcement Learning

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 ...