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    Reinforcement learning· 2017

    Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

    Ryan Lowe (first author) · 2017

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    arXiv 1706.02275OpenAlex W2623431351

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    Why it matters

    Popularized centralized training with decentralized execution for cooperating and competing agents.

    Condensed from the expert lists' notes.

    The record

    First released
    2017 (from arXiv 1706.02275)
    Citations
    6,576 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.314 · computed rank 567 · consensus 0.16, must-read 0, citations percentile 0.761 (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). Each count names its source. See the method.