Heuristic Function Design

Heuristic Function Design is the systematic development of domain-specific estimation functions that guide search algorithms by approximating the cost to reach a goal, distinguishing it from general search strategies through its focus on constructing problem-informed metrics to prioritize exploration.

97

Publications

4.9K

Citations

258

Authors

139

Institutions

Publications per year

2017–2026

39

Authors

258

  1. ML
    Maxim Likhachev

    Carnegie Mellon University, United States

    5 publications · 252 citations

    5

    h-index

  2. VN
    Venkatraman Narayanan

    Carnegie Mellon University, United States

    3 publications · 169 citations

    3

    h-index

  3. SA
    Sandip Aine

    Indraprastha Institute of Information Technology Delhi, India

    3 publications · 169 citations

    3

    h-index

  4. SS
    Siddharth Swaminathan

    Carnegie Mellon University, United States

    3 publications · 169 citations

    3

    h-index

  5. RE
    Richard E. Korf

    University of California, Los Angeles, United States

    3 publications · 359 citations

    3

    h-index

1–5 of 258

Venues

  1. The International Journal of Robotics Research

    IJRR · 3 publications · 270 citations

    3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 34 citations

    2

    h-index

  3. International Journal of Advanced Robotic Systems

    ARS · 2 publications · 324 citations

    2

    h-index

  4. Artificial Intelligence

    2 publications · 99 citations

    2

    h-index

  5. 2

    h-index

1–5