In our earliest work on dynamic algorithm configuration (DAC) we introduced the framework itself and presented the formulation of dynamic configuration as a contextual Markov Decision Process (cMDP). Based on this formulation, we proposed and evaluated solution approaches based on reinforcement learning. To properly study the effectiveness and limitations of these approaches, we introduced artificial … Continue reading Dynamic Algorithm Configuration on Artificial Functions