Abstract
Behavior learning or skill acquisition is one of the important issues of reinforcement learning schemes, in order to realize intelligent agent. Generally, simple tasks such as goal exploration can be easily acquired by reinforcement learning techniques, as many simulation studies are demonstrated. However, complicated tasks such as behaviors in sports like soccer are difficult to acquire substantially. It is caused by difficulties of objective modeling and multi-agent environment. In this study, we develop a behavior acquisition system of soccer agent based on reinforcement learning. We discuss the results of acquisition through numerical examples.
