Riku Narita, Tatsufumi Matsushima, Kentarou Kurashige. Efficient exploration by switching agents according to degree of convergence of learning on Heterogeneous Multi-Agent Reinforcement Learning in Single Robot. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. pages 1-6, IEEE, 2021. [doi]
Abstract is missing.