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Carrie Rebhuhn

1 paper hereh-index 466 citations13 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.MA1

identity via Semantic Scholar / OpenAlex

most citedHeterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping

14 citations · 14 across the 1 of their papers we have counts for

collaborators

1 paper

cs.MA2020★ 14 cited

Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping

Ceyer Wakilpoor, Patrick J. Martin, Carrie Rebhuhn +1

Reinforcement learning in heterogeneous multi-agent scenarios is important for real-world applications but presents challenges beyond those seen in homogeneous settings and simple…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.