As we’ve seen, human-in-the-loop processing can contribute to the machine learning process at two points: the initial creation of tagged datasets for supervised learning, and the review and ...

Researchers introduced HEX, a human-in-the-loop deep reinforcement learning method that improves trust and explanation quality in machine learning models used in high-stakes decision-making.

We're all pretty aware that we need to challenge our own assumptions if we want to come up with new ideas, but double loop learning at least provides a bit of a process to that idea so it's easier ...

Systems approaches present opportunities for public managers and policy makers to view policies and programs in a broader context. This article presents a framework to explain how simulation modeling ...