Occupancy Measure Formulation

Occupancy Measure Formulation is a mathematical framework in constrained Markov decision processes that characterizes the long-term frequency of state-action occupancy under a policy, distinguishing itself by enabling the transformation of dynamic programming problems into linear programs through the explicit representation of policy-induced visitation distributions.

22

Publications

1.2K

Citations

49

Authors

34

Institutions

Publications per year

2017–2026

10

Authors

49

  1. JL
    Jean‐Yves Le Boudec

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 272 citations

    3

    h-index

  2. NR
    Nikodin Ristanovic

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 148 citations

    2

    h-index

  3. EA
    Eitan Altman

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 93 citations

    2

    h-index

  4. XG
    Xianping Guo

    Sun Yat-sen University, China

    2 publications · 97 citations

    2

    h-index

  5. AC
    Augustin Chaintreau

    Columbia University, United States

    2 publications · 148 citations

    2

    h-index

1–5 of 49

Venues

  1. Mathematics of Operations Research

    4 publications · 178 citations

    4

    h-index

  2. The Annals of Applied Probability

    3 publications · 82 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 49 citations

    2

    h-index

  4. The Annals of Probability

    1 publications · 132 citations

    1

    h-index

  5. IEEE Computational Intelligence Magazine

    CIM · 1 publications · 70 citations

    1

    h-index

1–5