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"Sample-based Approximation of Nash in Large Many-Player Games via Gradient ..."

Ian Gemp et al. (2022)

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DOI: 10.5555/3535850.3535908

access: open

type: Conference or Workshop Paper

metadata version: 2023-09-06

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  - electronic edition @ ifaamas.org (open access)
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  dblp key:
  - conf/atal/GempSLBA0TEK22
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  persistent URL:
  - https://dblp.org/rec/conf/atal/GempSLBA0TEK22
Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár:
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. AAMAS 2022: 507-515

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