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    Csaba Szepesvari

    Csaba Szepesvari is a prominent figure in the field of artificial intelligence and machine learning. He is a Professor of Computing Science at the University of Alberta and holds the position of Canada CIFAR AI Chair.37 Szepesvari is also a Senior Staff Research Scientist at DeepMind, where he leads the "Foundations" team.78

    Key points about Csaba Szepesvari:

    1. Education: He received his PhD in 1999 from Jozsef Attila University in Szeged, Hungary.13

    2. Research focus: His main areas of interest include reinforcement learning, learning theory, and online and interactive learning.18

    3. Contributions: Szepesvari is the co-inventor of UCT (Upper Confidence bounds applied to Trees), a widely successful Monte-Carlo tree search algorithm.23

    4. Publications: He has authored three books and approximately 200 peer-reviewed journal and conference papers.13

    5. Roles: He serves as an action editor for the Journal of Machine Learning Research and Machine Learning.13

    6. Awards: His work on UCT won the 2016 test-of-time award at ECML/PKDD.3

    7. Current positions: As of February 2025, Szepesvari is a Professor at the University of Alberta and a Research Scientist at DeepMind, a position he has held since 2017.45

    Szepesvari's research focuses on creating efficient learning algorithms, particularly in the area of reinforcement learning, where machines interact with their environment to discover optimal ways of behaving.68

    Highlights

    Jan 1 · apps.ualberta.ca
    Csaba Szepesvari, PhD - Directory@UAlberta.ca
    Sep 12 · amii.ca
    Csaba Szepesvári - Alberta Machine Intelligence Institute
    Aug 22 · cifar.ca
    Csaba Szepesvari - CIFAR
    Csaba Szepesvári - University of Alberta
    Jan 1 · openreview.net
    Csaba Szepesvari - OpenReview
    ‪Csaba Szepesvari‬ - ‪Google Scholar‬

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    Csaba Szepesvari
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    Location

    Edmonton, Canada Area
    Location