Multi-robot Imitation Learning
Multi-Robot Imitation Learning is a machine learning framework in which a collective of autonomous robots acquires coordinated behaviors by mimicking expert demonstrations, distinguished from single-agent or non-imitative multi-robot approaches through its reliance on observational learning at scale.
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11
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8
Institutions
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2017–2026
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Imitation learning for task allocation
Felix Duvallet, Anthony Stentz · 2010 · 21 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
1.6K citations
Arizona State University
Tempe, United States
1 h-index
1 publications
13 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
178 citations
SpaceX (United States)
Hawthorne, United States
1 h-index
1 publications
13 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
1 publications
402 citations
Intel (United Kingdom)
Swindon, United Kingdom
1 h-index
1 publications
13 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
804 citations
Decision Systems (United States)
Northbrook, United States
1 h-index
2 publications
26 citations
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2 publications · 491 citations
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1 publications · 12 citations
1 publications · 23 citations
1 publications · 10 citations
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