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Showing 1–6 of 6 results
Advanced filters: Author: Thore Graepel Clear advanced filters

  • To help humanity solve fundamental problems of cooperation, scientists need to reconceive artificial intelligence as deeply social.

    • Allan Dafoe
    • Yoram Bachrach
    • Thore Graepel
    Comments & Opinion
    Nature
    Volume: 593, P: 33-36

  • A reinforcement-learning algorithm that combines a tree-based search with a learned model achieves superhuman performance in high-performance planning and visually complex domains, without any knowledge of their underlying dynamics.

    • Julian Schrittwieser
    • Ioannis Antonoglou
    • David Silver
    Research
    Nature
    Volume: 588, P: 604-609

  • Artificial Intelligence has achieved success in a variety of single-player or competitive two-player games with no communication between players. Here, the authors propose an approach where Artificial Intelligence agents have ability to negotiate and form agreements, playing the board game Diplomacy.

    • János Kramár
    • Tom Eccles
    • Yoram Bachrach
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • Starting from zero knowledge and without human data, AlphaGo Zero was able to teach itself to play Go and to develop novel strategies that provide new insights into the oldest of games.

    • David Silver
    • Julian Schrittwieser
    • Demis Hassabis
    Research
    Nature
    Volume: 550, P: 354-359