Andy L. JonesEngineer-researcher · AnthropicResearcher↗
Researcher · Engineer
Julian Schrittwieser
Career & education
Current role
Anthropic2024-presentMember of Technical Staff
Anthropic2024-presentPreviously
Google DeepMind2014-2024
Google DeepMind2014-2024Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations78,209As of Oct 18, '26
citations+1,549Since last snapshot, Jun 15, '26
Selected contributions
Mastering the game of Go with deep neural networks and tree search
With David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Ioannis Antonoglou and others ·AlphaGo combined neural networks and search to beat a professional Go player.
Mastering the game of Go without human knowledge
With David Silver, Karén Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker and others ·AlphaGo Zero learned Go through self-play without examples of human games.
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
With David Silver, Thomas Hubert, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre and others ·AlphaZero learned chess, shogi and Go through self-play rather than human examples.
References
- Mastering Atari, Go, Chess and Shogi by Planning with a Learned Modelarxiv.org
MuZero paper supports planning with a learned model and matches AlphaZero without supplied game dynamics; personal announcement additionally confirms work across all three systems.
- Julian Schrittwieser — Joining Anthropicjulian.ac
Personal announcement explicitly lists each project, plus AlphaGo, AlphaZero and MuZero.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 9, 2026 · Checked for accuracy and new information.
