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    Reinforcement learning· 2000

    Algorithms for Inverse Reinforcement Learning

    Andrew Y. Ng (first author) · 2000

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    OpenAlex W7099390080

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    Why it matters

    Formalized recovering reward functions from observed behavior, launching modern inverse RL.

    Condensed from the expert lists' notes.

    The record

    First released
    2000 (from OpenAlex)
    Citations
    2,664 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.293 · computed rank 622 · consensus 0.56, must-read 0, citations percentile 0.357 (2000s · all domains), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.