Resource-bounded Planning
Resource-Bounded Planning is a computational planning paradigm that belongs to the class of action representation methods, distinguished by its explicit constraint of planning processes within limited computational resources such as time, memory, or processing capacity.
26
Publications
2.8K
Citations
54
Authors
26
Institutions
Publications per year
2017–2026
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1–5 of 26
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Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
133 citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
120 citations

Australian National University
Canberra, Australia
2 h-index
4 publications
94 citations

University of Alberta
Edmonton, Canada
2 h-index
4 publications
136 citations

Data61
Sydney, Australia
2 h-index
4 publications
94 citations

University of Strathclyde
Glasgow, United Kingdom
1 h-index
2 publications
3.5K citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
15 citations

University of Waterloo
Waterloo, Canada
1 h-index
1 publications
15 citations
1–8 of 26
2 publications · 88 citations
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JAIR · 2 publications · 1.8K citations
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Conference · 1 publications · 47 citations
1
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Conference · 1 publications · 15 citations
1
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1 publications · 33 citations
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1–5