抄録
The focus of this research is Voronoi diagrams for space partitioning creates Voronoi regions where Voronoi Q-value Element (VQE) are to be located in continuous space. A Voronoi diagram has been proposed for solving the waste of places in continuous space. Reinforcement learning is one of the most important learning methods for machine learning and Q-learning is a typical technique of reinforcement learning. When using VQE for Voronoi space division of reinforcement learning, it has been acknowledged by this study and experiments.
