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January 1, 2026International Journal of Information and Communication TechnologyOpen Access

Collaborative multi-agent Q-learning-empowered vocational education resource matching system

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Key Points

The aim is to develop a multi-agent system that utilizes Q-learning for effective resource matching in vocational education.
Developed a framework employing multi-agent Q-learning algorithms.
Implemented a resource matching system for vocational education contexts.
Evaluated the system's performance through simulations and real-world scenarios.
Demonstrated improved efficiency in matching educational resources.
Achieved higher user satisfaction rates in resource allocation.
Reduced resource identification time significantly in vocational settings.

Implication

Collaborative Q-learning empowered system matches vocational education resources, indicating improved learning outcomes.

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Cite This Study

Zhaowei Zhang (2026) studied this question.

synapsesocial.com/papers/699fe34695ddcd3a253e70b5 https://doi.org/10.1504/ijict.2026.10076511

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