Executable Action Models

Executable Action Models is a computational framework within action representation that formally specifies actions as machine-executable procedures, distinguishing itself by enabling direct implementation and simulation of goal-directed behaviors in autonomous systems.

78

Publications

2.6K

Citations

185

Authors

92

Institutions

Publications per year

2017–2026

16

Authors

185

  1. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    6 publications · 405 citations

    6

    h-index

  2. MB
    Michael Beetz

    Technical University of Munich, Germany

    5 publications · 90 citations

    5

    h-index

  3. HH
    Hankz Hankui Zhuo

    Sun Yat-sen University, China

    5 publications · 221 citations

    5

    h-index

  4. KW
    Kangheng Wu

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 264 citations

    3

    h-index

  5. CB
    Chitta Baral

    Arizona State University, United States

    3 publications · 50 citations

    3

    h-index

1–5 of 185

Venues

  1. Artificial Intelligence

    4 publications · 367 citations

    4

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 239 citations

    3

    h-index

  3. 3

    h-index

  4. Autonomous Agents and Multi-Agent Systems

    2 publications · 45 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 46 citations

    2

    h-index

1–5