---
title: "Joel Z. Leibo · University of Toronto — author profile and papers"
description: "Joel Z. Leibo, University of Toronto: 2 papers on Elamur Research (2016), h-index 35 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/joel-z-leibo/"
---
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# Joel Z. Leibo

Joel Z. Leibo has 2 papers in our library, in 2016; often with [Charles Beattie](https://md.research.elamur.ai/free/en/authors/charles-beattie/), [David Silver](https://md.research.elamur.ai/free/en/authors/david-silver/), [Denis Teplyashin](https://md.research.elamur.ai/free/en/authors/denis-teplyashin/).

2 papers in our library · 2016

[OpenAlex](https://openalex.org/A5054808675) · [ORCID](https://orcid.org/0000-0002-3153-916X) · [Wikidata](https://www.wikidata.org/wiki/Q59549617) · [**h-index 35**](https://openalex.org/authors/A5054808675) · [195 works](https://openalex.org/works?filter=author.id:A5054808675) · [7,571 citations](https://openalex.org/works?filter=author.id:A5054808675&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/#papers) · [🔗 Cited 218 times in our library](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4499](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4499)

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=Joel+Z.+Leibo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joel+Z.+Leibo) · [dblp](https://dblp.org/search?q=Joel+Z.+Leibo) · [ACL Anthology](https://aclanthology.org/search/?q=Joel+Z.+Leibo)

## Affiliations

[🏢**Google DeepMind** London · United Kingdom 2013–2026 · 71 papersEmployment since 2013 · Research Scientist*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** London · United Kingdom 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/google-united-kingdom/) · [🎓**University of Toronto** Toronto · Canada 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2008–2019 · 32 papersEducation 2008–2013 · PhD, Brain & Cognitive Sciences](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Google** Mountain View · United States 2016–2020 · 12 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**McGovern Institute for Brain Research** Cambridge · United States 2012–2016 · 10 papers](https://md.research.elamur.ai/free/en/labs/mcgovern-institute-for-brain-research/) · [🎓**King's College London** London · United Kingdom 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/king-s-college-london/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 2 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Works by year

### 2010s

[**2016** 2 papers](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/year/2016/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Reinforcement Learning with Unsupervised Auxiliary Tasks](https://md.research.elamur.ai/free/en/papers/jaderberg-2016-reinforcement-learning-unsupervised-auxiliary-tasks/)** *(2016 · 319 citations)* Deep RL agents usually learn only from extrinsic reward, which is often sparse. That leaves most of the information in an agent's observation stream unused. Jaderberg et al. (DeepMind) propose UNREAL (UNsupervised REinforcement and Auxiliary Learning), which extends the A3C actor-critic with extra objectives that…
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

7 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. **[Human-level performance in 3D multiplayer games with population-based reinforcement learning ↗](https://doi.org/10.1126/science.aau6249) Science · no summary yet**Max Jaderberg et al.*2019 · 682 citations*
2. [**Reinforcement Learning with Unsupervised Auxiliary Tasks arXiv:1611.05397**Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/jaderberg-2016-reinforcement-learning-unsupervised-auxiliary-tasks/)
3. **[Using Fast Weights to Attend to the Recent Past ↗](https://arxiv.org/abs/1610.06258) arXiv (Cornell University) · no summary yet**Jimmy Lei Ba et al.*2016 · 168 citations*
4. **[Unsupervised Predictive Memory in a Goal-Directed Agent ↗](https://arxiv.org/abs/1803.10760) arXiv (Cornell University) · no summary yet**Greg Wayne et al.*2018 · 140 citations*
5. [**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/)
6. **[Kickstarting Deep Reinforcement Learning ↗](https://arxiv.org/abs/1803.03835) arXiv (Cornell University) · no summary yet**Simon Schmitt et al.*2018 · 51 citations*
7. **[A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms ↗](https://arxiv.org/abs/2609.04170) arXiv:2609.04170 · no summary yet**Davide Paglieri et al.*2026*

## Co-authors here

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

- [Charles Beattie](https://md.research.elamur.ai/free/en/authors/charles-beattie/)
- [David Silver](https://md.research.elamur.ai/free/en/authors/david-silver/)
- [Denis Teplyashin](https://md.research.elamur.ai/free/en/authors/denis-teplyashin/)
- [Heinrich Kuttler](https://md.research.elamur.ai/free/en/authors/heinrich-kuttler/)
- [Julian Schrittwieser](https://md.research.elamur.ai/free/en/authors/julian-schrittwieser/)
- [Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/)
- [Marcus Wainwright](https://md.research.elamur.ai/free/en/authors/marcus-wainwright/)
- [Max Jaderberg](https://md.research.elamur.ai/free/en/authors/max-jaderberg/)
- [Simon Green](https://md.research.elamur.ai/free/en/authors/simon-green/)
- [Volodymyr Mnih](https://md.research.elamur.ai/free/en/authors/volodymyr-mnih/)
- [Wojciech Marian Czarnecki](https://md.research.elamur.ai/free/en/authors/wojciech-marian-czarnecki/)

## Venues

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

- Science

## Cited by

Papers of our library cite their works 218 times (of the 149,439 papers whose bibliographies we read); [31 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/cited-by/).

Updated 2 November 2026
