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"Efficient exploration by switching agents according to degree of ..."

Riku Narita, Tatsufumi Matsushima, Kentarou Kurashige (2021)

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DOI: 10.1109/SSCI50451.2021.9659982

access: closed

type: Conference or Workshop Paper

metadata version: 2022-02-03

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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. SSCI 2021: 1-6

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