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Google DeepMind (United Kingdom)

United Kingdom

10 papers here90 citations across 10
fields
  • cs.LG4
  • stat.ML4
  • cs.AI1
  • physics.plasm-ph1
ROR 00971b260OpenAlex

affiliations via OpenAlex

most citedBlack-box optimization of noisy functions with unknown smoothness

51 citations

researchers with a paper here
  • Michal Valko8 · h 44
  • Pierre Ménard3 · h 14
  • A. Lazaric2 · h 43
  • Jean-Bastien Grill2 · h 15
  • R. Munos2 · h 90
  • A. Balestri1 · h 6
  • A. Carpentier1 · h 23
  • Alexey Naumov1 · h 7
  • A. Locatelli1 · h 7
  • A. Pau1 · h 1
  • B. Vincent1 · h 1
  • C. Galperti1 · h 1
collaborating institutions
  • Afterschool AllianceUS2 papers
  • Google (United Kingdom)GB2 papers
  • Meta (Israel)IL2 papers
  • Adobe Systems (United States)US1 paper
  • Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
  • Centre de Recherche en InformatiqueFR1 paper
  • Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Czech Technical University in PragueCZ1 paper
  • École Normale Supérieure de LyonFR1 paper
  • École Normale Supérieure Paris-SaclayFR1 paper
  • École Normale Supérieure - PSLFR1 paper
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2026★ 1 cited

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

Zun Li, Marc Lanctot, Kevin R. McKee +7

Opponent modeling methods typically involve two crucial steps: building a belief distribution over opponents' strategies, and exploiting this opponent model by playing a best respo…

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