Sequential Action Selection
Sequential Action Selection is a computational decision-making framework within action selection that specifically governs the selection of actions in a temporally ordered sequence, distinguishing itself by explicitly accounting for the dependencies and interactions between successive actions to achieve a long-term goal.
80
Publications
4.1K
Citations
269
Authors
128
Institutions
Publications per year
2017–2026
26
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Birkbeck, University of London
London, United Kingdom
5 h-index
8 publications
719 citations
Ruhr University Bochum
Bochum, Germany
4 h-index
9 publications
489 citations
California Institute of Technology
Pasadena, United States
3 h-index
3 publications
186 citations
Columbia University
New York, United States
3 h-index
3 publications
141 citations
Leiden University
Leiden, The Netherlands
3 h-index
8 publications
280 citations

Sorbonne Université
Paris, France
3 h-index
5 publications
202 citations
Shenyang Institute of Automation
Shenyang, China
2 h-index
1 publications
88 citations

University of Minnesota
Minneapolis, United States
2 h-index
3 publications
146 citations
1–8 of 128
4 publications · 221 citations
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PNAS · 3 publications · 229 citations
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3 publications · 364 citations
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2 publications · 125 citations
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2 publications · 87 citations
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