---
title: "Julian Schrittwieser — author profile and papers in our library"
description: "Julian Schrittwieser, Google DeepMind: 2 papers on Elamur Research (2016–2022), h-index 16 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/julian-schrittwieser/"
---
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# Julian Schrittwieser

Julian Schrittwieser has 2 papers in our library, in 2016–2022, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Charles Beattie](https://md.research.elamur.ai/free/en/authors/charles-beattie/), [Denis Teplyashin](https://md.research.elamur.ai/free/en/authors/denis-teplyashin/), [Felix Gimeno](https://md.research.elamur.ai/free/en/authors/felix-gimeno/).

2 papers in our library · 2016–2022

[OpenAlex](https://openalex.org/A5080518618) · [**h-index 16**](https://openalex.org/authors/A5080518618) · [24 works](https://openalex.org/works?filter=author.id:A5080518618) · [34,239 citations](https://openalex.org/works?filter=author.id:A5080518618&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/#papers) · [🔗 Cited 4,165 times in our library](https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1838](https://md.research.elamur.ai/free/en/paper-stars/page/19/#star-1838)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Julian+Schrittwieser) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Julian+Schrittwieser) · [dblp](https://dblp.org/search?q=Julian+Schrittwieser) · [ACL Anthology](https://aclanthology.org/search/?q=Julian+Schrittwieser)

## Affiliations

[🏢**Google DeepMind** London · United Kingdom 2016–2025 · 12 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/)

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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

[**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/year/2022/)

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Competition-Level Code Generation with AlphaCode](https://md.research.elamur.ai/free/en/papers/li-2022-competition-level-code-generation-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](https://md.research.elamur.ai/free/en/papers/beattie-2016-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 AlphaCode](https://md.research.elamur.ai/free/en/papers/li-2022-competition-level-code-generation-alphacode/) [Science](https://md.research.elamur.ai/free/en/venues/science/)**Yujia Li, David Choi, Junyoung Chung, et al.*2022 · 1,564 citations*
2. **[StarCraft II: A New Challenge for Reinforcement Learning ↗](https://arxiv.org/abs/1708.04782) arXiv (Cornell University) · no summary yet**Oriol Vinyals et al.*2017 · 680 citations*
3. [**DeepMind Lab arXiv:1612.03801**Charles Beattie, Joel Z. Leibo, Denis Teplyashin, et al.*2016 · 134 citations*](https://md.research.elamur.ai/free/en/papers/beattie-2016-deepmind-lab/)
4. **[MuZero with Self-competition for Rate Control in VP9 Video Compression ↗](https://arxiv.org/abs/2202.06626) arXiv (Cornell University) · no summary yet**Amol Mandhane et al.*2022 · 14 citations*
5. **[AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning ↗](https://arxiv.org/abs/2308.03526) arXiv (Cornell University) · no summary yet**Michaël Mathieu et al.*2023 · 7 citations*
6. **[Optimizing Memory Mapping Using Deep Reinforcement Learning ↗](https://arxiv.org/abs/2305.07440) arXiv (Cornell University) · no summary yet**Pengming Wang et al.*2023 · 1 citation*

## Co-authors here

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

- [Charles Beattie](https://md.research.elamur.ai/free/en/authors/charles-beattie/)
- [Denis Teplyashin](https://md.research.elamur.ai/free/en/authors/denis-teplyashin/)
- [Felix Gimeno](https://md.research.elamur.ai/free/en/authors/felix-gimeno/)
- [Heinrich Kuttler](https://md.research.elamur.ai/free/en/authors/heinrich-kuttler/)
- [Joel Z. Leibo](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/)
- [Junyoung Chung](https://md.research.elamur.ai/free/en/authors/junyoung-chung/)
- [Marcus Wainwright](https://md.research.elamur.ai/free/en/authors/marcus-wainwright/)
- [Nate Kushman](https://md.research.elamur.ai/free/en/authors/nate-kushman/)
- [Simon Green](https://md.research.elamur.ai/free/en/authors/simon-green/)
- [Yujia Li](https://md.research.elamur.ai/free/en/authors/yujia-li/)

## Venues

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

- [Science](https://md.research.elamur.ai/free/en/venues/science/): [Science 2022](https://md.research.elamur.ai/free/en/venues/science/2022/)

## 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 →](https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/cited-by/).

Updated 2 November 2026
