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Showing 1–2 of 2 results
Advanced filters: Author: Danijar Hafner Clear advanced filters

  • A general reinforcement-learning algorithm, called Dreamer, outperforms specialized expert algorithms across diverse tasks by learning a model of the environment and improving its behaviour by imagining future scenarios.

    • Danijar Hafner
    • Jurgis Pasukonis
    • Timothy Lillicrap
    ResearchOpen Access
    Nature
    Volume: 640, P: 647-653

  • A deep network is best understood in terms of components used to design it—objective functions, architecture and learning rules—rather than unit-by-unit computation. Richards et al. argue that this inspires fruitful approaches to systems neuroscience.

    • Blake A. Richards
    • Timothy P. Lillicrap
    • Konrad P. Kording
    Reviews
    Nature Neuroscience
    Volume: 22, P: 1761-1770