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Showing 1–4 of 4 results
Advanced filters: Author: Ioannis Antonoglou Clear advanced filters

  • 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

  • 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

  • An artificial agent is developed that learns to play a diverse range of classic Atari 2600 computer games directly from sensory experience, achieving a performance comparable to that of an expert human player; this work paves the way to building general-purpose learning algorithms that bridge the divide between perception and action.

    • Volodymyr Mnih
    • Koray Kavukcuoglu
    • Demis Hassabis
    Research
    Nature
    Volume: 518, P: 529-533