Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot. - Riku Narita; Tatsufumi Matsushima; Kentarou Kurashige (SSCI, 2021)

Multi-Faceted Decision Making Using Multiple Reinforcement Learning to Reducing Wasteful Actions. - Riku Narita; Kentarou Kurashige (J. Adv. Comput. Intell. Intell. Informatics, 2022)

Effective Action Learning Method Using Information Entropy for a Single Robot Under Multi-Agent Control. - Yuma Uemura; Riku Narita; Kentarou Kurashige (J. Adv. Comput. Intell. Intell. Informatics, 2024)