Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning
Understanding how goals control behavior is a question ripe for interrogation by new methods from machine learning. These methods require large and labeled datasets to train models. To annotate a large-scale image dataset with observed search fixations, we collected 16,184 fixations from people searching for either microwaves or clocks in …