1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2021★ 1 cited
Reinforcement Learning on Human Decision Models for Uniquely Collaborative AI Teammates
Nicholas Kantack
In 2021 the Johns Hopkins University Applied Physics Laboratory held an internal challenge to develop artificially intelligent (AI) agents that could excel at the collaborative car…
cs.AI2021
Instructive artificial intelligence (AI) for human training, assistance, and explainability
Nicholas Kantack, Nina Cohen, Nathan Bos +3
We propose a novel approach to explainable AI (XAI) based on the concept of "instruction" from neural networks. In this case study, we demonstrate how a superhuman neural network m…