Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration. (arXiv:2211.01602v1 [cs.LG])

AI agents designed to collaborate with people benefit from models that enable
them to anticipate human behavior. However, realistic models tend to require
vast amounts of human data, which is often hard to collect. A good prior or
initialization could make for more data-efficient training, but what makes for
a good prior on human behavior? Our work leverages a very simple assumption:
people generally act closer to optimal than to random chance. We show that
using optimal behavior as a …

ai collaboration arxiv behavior collaboration data human prior