Software Engineering Institute

In this work, We propose an alternative approach, inverse reinforcement learning (IRL), that observes all states and actions in data and computes a statistical model of the world that includes whether each behavior is part of a routine. Deviations from routines have a low likelihood of
occurrence within the model.