Automated MAP-Elites Dimension Discovery

Background: Quality-Diversity optimization methods, like MAP-Elites, require pre-defining dimensions to archive solutions based on their behavioral characteristics.

Question / Future Work: A challenge remains in automating the selection of the phenotypic dimensions for the MAP-Elites archive, tailoring them automatically based on the specific characteristics of the time series forecasting task at hand.