Elamur Research⌕
☰
home / authors / Julian Schrittwieser

Julian Schrittwieser

Julian Schrittwieser has 2 papers in our library, in 2016–2022, most of them on Code & programming languages; often with Charles Beattie, Denis Teplyashin, Felix Gimeno.

2 papers in our library · 2016–2022

OpenAlex · h-index 16 · 24 works · 34,239 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4,165 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #1838

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Google DeepMindLondon · United Kingdom2016–2025 · 12 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Science Applications · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Code & programming languages · 1 work

 Works by year

2020s

20221 paper

2010s

20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Competition-Level Code Generation with AlphaCode (2022 · 1,564 citations)
    AlphaCode addresses the task of writing complete programs for competitive programming problems. In this setting a long natural-language statement must become a correct and fast solution, which is then judged on hidden tests. Earlier large code models handled short, instruction-like tasks but solved only a few percent…
  2. DeepMind Lab (2016 · 134 citations)
    Studying embodied intelligence with physical robots is slow and expensive, and building detailed virtual worlds for AI research has required heavy engineering.

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Competition-Level Code Generation with AlphaCodeScienceYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,564 citations
  2. StarCraft II: A New Challenge for Reinforcement Learning ↗arXiv (Cornell University) · no summary yetOriol Vinyals et al.2017 · 680 citations
  3. DeepMind LabarXiv:1612.03801Charles Beattie, Joel Z. Leibo, Denis Teplyashin, et al.2016 · 134 citations
  4. MuZero with Self-competition for Rate Control in VP9 Video Compression ↗arXiv (Cornell University) · no summary yetAmol Mandhane et al.2022 · 14 citations
  5. AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning ↗arXiv (Cornell University) · no summary yetMichaël Mathieu et al.2023 · 7 citations
  6. Optimizing Memory Mapping Using Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetPengming Wang et al.2023 · 1 citation

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 4,165 times (of the 149,439 papers whose bibliographies we read); 963 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/