Riku Narita

According to our database, Riku Narita authored at least 3 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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, March, 2024

2022

Multi-Faceted Decision Making Using Multiple Reinforcement Learning to Reducing Wasteful Actions.

Riku Narita, Kentarou Kurashige

J. Adv. Comput. Intell. Intell. Informatics, 2022

2021

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021