Action Space Formulation

Action Space Formulation is a dynamic programming construct that specifies the set of permissible decisions or operations at each state, distinguishing itself by formally defining the feasible actions available to an agent in sequential decision-making processes.

762

Publications

37.8K

Citations

2.5K

Authors

654

Institutions

Publications per year

2017–2026

530

Authors

2.5K

  1. FR
    F. Richard Yu

    Carleton University, Canada

    7 publications · 608 citations

    7

    h-index

  2. QJ
    Qing‐Shan Jia

    Tsinghua University, China

    5 publications · 133 citations

    5

    h-index

  3. CB
    Craig Boutilier

    University of Toronto, Canada

    5 publications · 181 citations

    5

    h-index

  4. CX
    Changqiao Xu

    Beijing University of Posts and Telecommunications, China

    5 publications · 136 citations

    5

    h-index

  5. JB
    James Binney

    University of Oxford, United Kingdom

    5 publications · 206 citations

    5

    h-index

1–5 of 2.5K

Venues

  1. arXiv (Cornell University)

    Repository · 100 publications · 4.5K citations

    32

    h-index

  2. IEEE Transactions on Vehicular Technology

    17 publications · 1.2K citations

    16

    h-index

  3. IEEE Access

    17 publications · 745 citations

    16

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 19 publications · 614 citations

    15

    h-index

  5. IEEE Transactions on Wireless Communications

    12 publications · 1.1K citations

    12

    h-index

1–5