Partial Observability

Partial Observability is a property of a state-space model in which the underlying system states are not directly observable but must be inferred through probabilistic relationships with observable outputs.

305

Publications

20.9K

Citations

823

Authors

336

Institutions

Publications per year

2017–2026

137

Authors

823

  1. PB
    Piergiorgio Bertoli

    University of Trento, Italy

    8 publications · 395 citations

    8

    h-index

  2. AC
    Alessandro Cimatti

    Fondazione Bruno Kessler, Italy

    7 publications · 372 citations

    7

    h-index

  3. SO
    Shayegan Omidshafiei

    Massachusetts Institute of Technology, United States

    6 publications · 363 citations

    6

    h-index

  4. JP
    Jonathan P. How

    Massachusetts Institute of Technology, United States

    6 publications · 351 citations

    6

    h-index

  5. CA
    Christopher Amato

    Massachusetts Institute of Technology, United States

    6 publications · 353 citations

    6

    h-index

1–5 of 823

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 4.3K citations

    25

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 12 publications · 2.1K citations

    12

    h-index

  3. IEEE Transactions on Automatic Control

    6 publications · 322 citations

    6

    h-index

  4. International Journal of Control

    4 publications · 89 citations

    4

    h-index

  5. 4

    h-index

1–5