A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning

Juan Cruz Barsce, Jorge A. Palombarini, Ernesto Martínez

Optimization of hyper-parameters in reinforcement learning (RL) algorithms is a key task, because they determine how the agent will learn its policy by interacting with its environ…