Kai Mao

Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning

2023 · arXiv (Cornell University)

When assisting human users in reinforcement learning (RL), we can represent users as RL agents and study key parameters, called \emph{user traits}, to inform intervention design. We study the relationship between user behaviors (policy classes) …