David Silver

Co-founder, Ineffable Intelligence; Professor, UCL

David Silver studies reinforcement learning and systems that acquire knowledge through experience. At DeepMind, he helped lead the research behind AlphaGo, AlphaGo Zero and AlphaZero, and contributed to MuZero and mathematical reasoning work. He is now a co-founder of Ineffable Intelligence, pursuing experience-driven learning, and a UCL professor. The company’s ambition to build a general superlearner remains a research objective.

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David Silver
Photo: Association for Computing MachineryOfficial press image; Usage Restrictions: None · Displayed in grayscale

At a glance

David Silver studies reinforcement learning and systems that acquire knowledge through experience. At DeepMind, he helped lead the research behind AlphaGo, AlphaGo Zero and AlphaZero, and contributed to MuZero and mathematical reasoning work. He is now a co-founder of Ineffable Intelligence, pursuing experience-driven learning, and a UCL professor. The company’s ambition to build a general superlearner remains a research objective.

Organization
Ineffable Intelligence
Academic role
Professor of Computer Science, UCL
Known for
AlphaGo; AlphaGo Zero; AlphaZero; reinforcement learning
Previously
Google DeepMind

Sources checked . Selected career background and milestones.

Career, in context.

Selected research, leadership and career milestones, newest first.

  1. Ineffable announces Sequoia partnership

    Sequoia announces its partnership with Silver’s London research lab and co-leadership of the first financing round, describing experience-driven reinforcement learning as the company’s central research direction.

    Source: Sequoia Capital: Ineffable partnership ↗
  2. Explains the decision to build Ineffable

    In a dated note published by Ineffable Intelligence, Silver sets out his motivation for creating a research organization dedicated to learning new knowledge through interaction and experience.

    Source: Ineffable Intelligence: A Note from Dave ↗
  3. Helps guide AlphaProof mathematics work

    DeepMind reports silver-medal-equivalent results on IMO problems from AlphaProof and AlphaGeometry 2. Its credits identify Silver as an adviser and a coordinator of the overall project.

    Source: Google DeepMind: IMO silver-medal-level results ↗
  4. Co-authors MuZero’s research announcement

    Silver and collaborators describe MuZero, which learns a model useful for planning and masters Go, chess, shogi and Atari without being supplied with the environment’s rules.

    Source: Google DeepMind: MuZero ↗
  5. Co-presents the full AlphaZero evaluation

    Silver and collaborators publish the full evaluation of AlphaZero, a single learning approach that masters chess, shogi and Go from self-play with the games’ rules.

    Source: Google DeepMind: AlphaZero evaluation ↗
  6. Co-introduces AlphaGo Zero

    Silver and Demis Hassabis announce AlphaGo Zero, developed by a larger research team, demonstrating Go learning through self-play without training on human game examples.

    Source: Google DeepMind: AlphaGo Zero ↗
  7. AlphaGo defeats Lee Sedol

    AlphaGo wins its five-game match against Lee Sedol by four games to one. Silver’s first-person research account presents the result within DeepMind’s wider reinforcement-learning program.

    Source: David Silver / Google DeepMind: Deep Reinforcement Learning ↗

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