Landmark Heuristics

Landmark Heuristics is a heuristic function in heuristic search that estimates the cost to reach a goal by leveraging precomputed distances to a set of critical states, known as landmarks, which capture global structural properties of the search space.

19

Publications

1.7K

Citations

29

Authors

10

Institutions

Publications per year

2017–2026

7

Authors

29

  1. CD
    Carmel Domshlak

    Technion – Israel Institute of Technology, Israel

    6 publications · 610 citations

    6

    h-index

  2. MH
    Malte Helmert

    University of Basel, Switzerland

    5 publications · 542 citations

    5

    h-index

  3. EK
    Erez Karpas

    Technion – Israel Institute of Technology, Israel

    3 publications · 178 citations

    3

    h-index

  4. JS
    Jendrik Seipp

    University of Basel, Switzerland

    3 publications · 67 citations

    3

    h-index

  5. FM
    Felipe Meneguzzi

    Pontifícia Universidade Católica do Rio Grande do Sul, Brazil

    2 publications · 91 citations

    3

    h-index

1–5 of 29

Venues

  1. 9

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  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 112 citations

    2

    h-index

  3. Journal of Artificial Intelligence Research

    JAIR · 1 publications · 198 citations

    1

    h-index

  4. 1

    h-index

  5. edoc (University of Basel)

    Repository · 1 publications · 16 citations

    1

    h-index

1–5