Abstract: This study explores a novel method to traffic control that enhances signal control systems in metropolitan environments by applying machine learning techniques. This research revolves around ...

Abstract: Task Parametrized Gaussian Mixture Models (TP-GMM) are a sample-efficient method for learning object-centric robot manipulation tasks. However, there are several open challenges to applying ...