Efficient Teaching Support to Non-player Learning Agents on Multiplayer Games

Abstract

Giving human knowledge to learning agents is a good way to speed up the process of reinforcement learning for learning agents. To give human knowledge to learning agent efficiently, it is important to estimate whether or not agents need more knowledge. In this paper, we present our approach to realize efficient teaching on an application which can show the users the progress of learning in a video game.