Belief Mdps

Belief MDPs is a Markov decision process in which the state space consists of beliefs—probability distributions over the underlying POMDP's hidden states—thereby transforming a partially observable problem into a fully observable one over beliefs, with transitions and rewards defined by the original POMDP's dynamics.

14

Publications

584

Citations

32

Authors

19

Institutions

Publications per year

2017–2026

1

Variants

Belief Markov Decision ProcessesBelief-mdps

Authors

32

  1. GS
    Guy Shani

    Ben-Gurion University of the Negev, Israel

    2 publications · 101 citations

    2

    h-index

  2. PD
    Prashant Doshi

    University of Georgia, United States

    2 publications · 127 citations

    2

    h-index

  3. SE
    Solomon Eyal Shimony

    Ben-Gurion University of the Negev, Israel

    2 publications · 101 citations

    2

    h-index

  4. RI
    Ronen I. Brafman

    Ben-Gurion University of the Negev, Israel

    2 publications · 101 citations

    2

    h-index

  5. TE
    Tom Erez

    University of Washington, United States

    1 publications · 42 citations

    1

    h-index

1–5 of 32

Venues

  1. Autonomous Agents and Multi-Agent Systems

    2 publications · 121 citations

    2

    h-index

  2. 1

    h-index

  3. Robotics and Autonomous Systems

    1 publications · 11 citations

    1

    h-index

  4. 1

    h-index

  5. Neural Processing Letters

    1 publications · 10 citations

1–5