Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming

Manuel Eberhardinger, Florian Rupp, Johannes Maucher, Setareh Maghsudi

Abstract: Despite tremendous progress, machine learning and deep learning still suffer from incomprehensible predictions. Incomprehensibility, however, is not an option for the application of (deep) reinforcement learning in the real world, as unpredictable actions can seriously harm the individuals involved.