With Guided Policy Search GPS, a robot learns each skill in the video in 20 minutes. If it is trained by the Policy Gradient methods, it will take weeks. The demonstration also shows the robot can handle scenarios that are not trained before.

In RL, success is measured by…

A good video lecture on an AI topic may be watched by hundreds of thousands of people. But a nice lecture on AI fairness may receive only 10% of such attentions. It is not because it is not important. On the contrary, we keep repeating the same mistakes again and…

What is fair? Can we define fairness in mathematical equations? In this article, we will approach these definitions systematically and establish a framework for the problems if possible. We will also look into more advance topics including counterfactual fairness.

Notation

To discuss the topic, let’s start with an example that uses…

Machines learn from huge amounts of data to make decisions faster and cheaper. And it formalizes a process to avoid prejudice. But are these AI decisions fair? Do we have bias issues beyond the datasets? Should fairness be an integrated part of AI thinking?

But software is not free of…

Jonathan Hui

Deep Learning

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