Best-first Search
Best-First Search is a heuristic-driven graph traversal algorithm that belongs to the class of informed search strategies, distinguished by its selection of the most promising node for expansion based on an evaluation function that estimates the proximity to the goal.
301
Publications
17K
Citations
649
Authors
298
Institutions
Publications per year
2017–2026
68
301
Letizia: an agent that assists web browsing
Henry Lieberman · 1995 · 1.1K citations
Generalized best-first search strategies and the optimality of A*
Rina Dechter, Judea Pearl · Journal of the ACM · 1985 · 1.1K citations · Full text
Object removal by exemplar-based inpainting
Antonio Criminisi, Patrick Pérez, Kentaro Toyama · 2003 · 856 citations
Bruce Golden, Larry Levy, Rakesh Vohra · Naval Research Logistics (NRL) · 1987 · 762 citations
PROGRESSIVE STRATEGIES FOR MONTE-CARLO TREE SEARCH
Guillaume Chaslot, Mark H. M. Winands, H.J. van den Herik et al. · New Mathematics and Natural Computation · 2008 · 436 citations
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298
University of California, Los Angeles
Los Angeles, United States
13 h-index
29 publications
3.3K citations
University of California, Irvine
Irvine, United States
9 h-index
17 publications
405 citations

University of Alberta
Edmonton, Canada
8 h-index
15 publications
439 citations
Ben-Gurion University of the Negev
Beersheba, Israel
7 h-index
15 publications
460 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
11 publications
589 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
9 publications
1.3K citations

Universitat Pompeu Fabra
Barcelona, Spain
6 h-index
9 publications
326 citations

Indian Institute of Management Calcutta
Kolkata, India
5 h-index
10 publications
424 citations
1–8 of 298
13 publications · 580 citations
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Conference · 14 publications · 348 citations
11
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8 publications · 251 citations
8
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JAIR · 7 publications · 415 citations
7
h-index
Conference · 7 publications · 165 citations
7
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