Reinforcement Learning-Based Modeling of Children Behavior and Feature Analysis with Parameter Estimation

Abstract

In recent years, the shortage of childcare workers and the increase in the number of children waiting for admission to preschool due to an increase in the number of children who wish to enter preschool as a result of dual employment have become social problems. One of the reasons for the shortage of childcare workers is the sheer volume of work. If we could develop a methodology to estimate the characteristics of each child, we could reduce the workload of childcare workers and adopt a more efficient training policy. In this study, we modeled a series of behaviors of infants in group conversations by reinforcement learning. We also discussed the characteristics of each child by visualizing the estimated values of parameters and the learning process obtained from the behavioral data of each child