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    Reinforcement learning· 2014

    Deterministic Policy Gradient Algorithms

    David Silver (first author) · 2014

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    OpenAlex W2165150801

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    Why it matters

    Derived deterministic policy gradients, enabling efficient learning in continuous action spaces.

    Condensed from the expert lists' notes.

    The record

    First released
    2014 (from OpenAlex)
    Citations
    4,690 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.361 · computed rank 449 · consensus 0.52, must-read 0, citations percentile 0.587 (2010s · reinforcement-learning), 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.