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    Reinforcement learning· 2015

    Continuous control with deep reinforcement learning

    Timothy P. Lillicrap (first author) · 2015

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    arXiv 1509.02971OpenAlex W2173248099

    On the reading lists

    Why it matters

    Extended deep Q-learning ideas to continuous actions using deterministic actor-critic policies.

    Condensed from the expert lists' notes.

    The record

    First released
    2015 (from arXiv 1509.02971)
    Citations
    16,206 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Awards
    ICLR Test of Time
    Named by
    both expert lists
    Also relevant to
    Deep learning
    Score
    0.783 · computed rank 17 · consensus 0.71, must-read 0.5, citations percentile 0.913 (2010s · reinforcement-learning), awards 1, existing lists 0.5. 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). Each count names its source. See the method.