Approximate State Aggregation
Approximate State Aggregation is a model approximation technique in reinforcement learning that partitions the state space into aggregates based on similarity or proximity, relaxing exact equivalence requirements to enable scalable and efficient value estimation.
14
Publications
443
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28
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19
Institutions
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2017–2026
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Aggregation with an error of <i>O</i> (ε <sup>2</sup> )
Hendrik Vantilborgh · Journal of the ACM · 1985 · 46 citations · Full text
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Massachusetts Institute of Technology, United States
1 publications · 10 citations
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19

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
1 h-index
2 publications
46 citations

Mohammed V University
Rabat, Morocco
1 h-index
1 publications
23 citations
European Union
Brussels, Belgium
1 h-index
1 publications
46 citations
University of Florida
Gainesville, United States
1 h-index
2 publications
54 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
10 citations

Wright-Patterson Air Force Base
Wright-Patterson AFB, United States
1 h-index
2 publications
46 citations
Institut für Höhere Studien - Institute for Advanced Studies (IHS)
Vienna, Austria
1 h-index
1 publications
19 citations
Mississippi State University
Starkville, United States
1 h-index
1 publications
10 citations
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1 publications · 62 citations
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1 publications · 23 citations
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1 publications · 43 citations
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Repository · 1 publications · 10 citations
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IJRCEA · 1 publications · 23 citations
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