Flavio Mazzolini

Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning

The choice of the control frequency of a system has a relevant impact on the ability of reinforcement learning algorithms to learn a highly performing policy. In this paper, we introduce the notion of action persistence that consists in the repetition of an action for a fixed number of decision step…