Computer Poker

Computer Poker is a computational framework within the field of artificial intelligence that specializes in developing and analyzing algorithms for strategic decision-making in poker games, distinguished by its integration of game theory, probabilistic reasoning, and opponent modeling under conditions of imperfect information.

52

Publications

1.6K

Citations

97

Authors

58

Institutions

Publications per year

2017–2026

6

Authors

97

  1. TS
    Tüomas Sandholm

    Carnegie Mellon University, United States

    8 publications · 336 citations

    8

    h-index

  2. MJ
    Michael Johanson

    University of Alberta, Canada

    5 publications · 159 citations

    5

    h-index

  3. SG
    Sam Ganzfried

    Carnegie Mellon University, United States

    5 publications · 153 citations

    5

    h-index

  4. MZ
    Martin Zinkevich

    University of Alberta, Canada

    4 publications · 111 citations

    4

    h-index

  5. MB
    Michael Bowling

    University of Alberta, Canada

    4 publications · 127 citations

    4

    h-index

1–5 of 97

Venues

  1. Journal of Behavioral Addictions

    2 publications · 66 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 53 citations

    2

    h-index

  3. AI Magazine

    2 publications · 137 citations

    2

    h-index

  4. Nordic Studies on Alcohol and Drugs

    NAD · 2 publications · 22 citations

    2

    h-index

  5. International Journal of Mental Health and Addiction

    IJMA · 1 publications · 119 citations

    1

    h-index

1–5