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News/A Linear Matching Bandit Approach to Online Multi-Human Multi-Robot Teaming
arxiv
PublishedJuly 27, 2026 at 4:00 AM
—neutral

A Linear Matching Bandit Approach to Online Multi-Human Multi-Robot Teaming

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Publisher summary· verbatim

arXiv:2606.29221v2 Announce Type: replace Abstract: We address the problem of online multi-human multi-robot matching through the lens of a linear matching bandit framework, where a learner assigns robots with unknown features from a fixed pool to distinct sets of human agents over multiple rounds.

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    LinMatch
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#machine-learning#matching#optimization

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Mentioned models
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  • 01
    LinMatch
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Read original ↗All from arxiv →
Tags
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#machine-learning#matching#optimization

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