Behavioral Cloning
Behavioral Cloning is a supervised learning method in imitation learning where a policy is trained to map states to actions by mimicking expert demonstrations, distinguishing it from other policy learning approaches through its reliance on direct state-action pair regression without interaction or exploration.
103
Publications
6.2K
Citations
364
Authors
118
Institutions
Publications per year
2017–2026
85
103
Imitating driver behavior with generative adversarial networks
Alex Kuefler, Jeremy Morton, Tim A. Wheeler et al. · 2017 · 436 citations
Experience Replay for Continual Learning
David Rolnick, Arun Ahuja, Jonathan Schwarz et al. · arXiv (Cornell University) · 2018 · 376 citations · Full text
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Stanford University
Stanford, United States
8 h-index
18 publications
2.5K citations
Google (United States)
Mountain View, United States
7 h-index
21 publications
2.5K citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
22 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
6 h-index
24 publications
1.3K citations

UNSW Sydney
Sydney, Australia
4 h-index
8 publications
207 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
7 publications
141 citations
The University of Texas at Austin
Austin, United States
3 h-index
8 publications
153 citations

DEVCOM Army Research Laboratory
Adelphi, United States
3 h-index
9 publications
285 citations
1–8 of 118
Repository · 32 publications · 1.6K citations
23
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4 publications · 315 citations
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3 publications · 175 citations
3
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IJRR · 2 publications · 77 citations
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Conference · 2 publications · 42 citations
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