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

5

Authors

54

  1. TI
    Toru Ishida

    Kyoto University, Japan

    2 publications · 148 citations

    2

    h-index

  2. FT
    Felipe Trevizan

    Australian National University, Australia

    2 publications · 47 citations

    2

    h-index

  3. RS
    Raymond So

    Hong Kong Footwear Federation, China

    2 publications · 60 citations

    2

    h-index

  4. MF
    Maria Fox

    University of Strathclyde, United Kingdom

    2 publications · 1.8K citations

    2

    h-index

  5. JH
    Jöerg Hoffmann

    Saarland University, Germany

    2 publications · 68 citations

    2

    h-index

1–5 of 54

Venues

  1. 2

    h-index

  2. Journal of Artificial Intelligence Research

    JAIR · 2 publications · 1.8K citations

    2

    h-index

  3. 1

    h-index

  4. European Conference on Artificial Intelligence

    Conference · 1 publications · 15 citations

    1

    h-index

  5. Autonomous Robots

    1 publications · 33 citations

    1

    h-index

1–5