2A1-L05 強化学習におけるクラウドの活用を前提とした知識統合手法の開発

Abstract

This paper describes an assimilation method of knowledge obtained by reinforcement learning agents. In recent years, multi-agent robot system (MARS) utilizing reinforcement learning and its knowledge sharing methodology have been deployed in real-world situations. For example, knowledge assimilation methods such as simple-sum are proposed for merging the knowledge obtained from distributed learning agents in different tasks. Those methodologies, however, have not been fully discussed systematically. Furthermore, existing researches have only been dealing with the knowledge which is obtained from individual tasks. To realize a knowledge assimilation method with various knowledge of agents in multi-agent reinforcement learning systems, we focused on a cloud computing resources. In this paper, we propose a knowledge assimilation method utilizing a cloud computing resource, and we confirmed the effectiveness of knowledge assimilation method in a shortest path problem.