--- title: "Volodymyr Mnih — author profile and papers in our library" description: "Volodymyr Mnih: 2 papers on Elamur Research (2015–2016), h-index 30 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/volodymyr-mnih/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/volodymyr-mnih/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Volodymyr Mnih # Volodymyr Mnih Volodymyr Mnih has 2 papers in our library, in 2015–2016; 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/), [Joel Z Leibo](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/). 2 papers in our library · 2015–2016 [OpenAlex](https://openalex.org/A5008904142) · [**h-index 30**](https://openalex.org/authors/A5008904142) · [53 works](https://openalex.org/works?filter=author.id:A5008904142) · [44,626 citations](https://openalex.org/works?filter=author.id:A5008904142&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/volodymyr-mnih/#papers) · [🔗 Cited 1,031 times in our library](https://md.research.elamur.ai/free/en/authors/volodymyr-mnih/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3293](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3293) 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=Volodymyr+Mnih) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Volodymyr+Mnih) · [dblp](https://dblp.org/search?q=Volodymyr+Mnih) · [ACL Anthology](https://aclanthology.org/search/?q=Volodymyr+Mnih) ## Affiliations [🏢**Google** Mountain View · United States 2014–2021 · 14 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of Toronto** Toronto · Canada 2006–2013 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🏢**Google DeepMind** London · United Kingdom 2013–2021 · 8 papers](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. 2 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 3 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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) ## Works by year ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/volodymyr-mnih/year/2016/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/volodymyr-mnih/year/2015/) ## Papers The most cited first (OpenAlex and our library). 1. **[Massively Parallel Methods for Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/nair-2015-massively-parallel-methods-deep-reinforcement/)** *(2015 · 427 citations)* DQN, the deep Q-learning agent that learns Atari 2600 games from raw pixels, had only been run on a single machine. 2. **[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… ## All works 13 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. **[Playing Atari with Deep Reinforcement Learning ↗](https://arxiv.org/abs/1312.5602) arXiv:1312.5602 · no summary yet**Volodymyr Mnih et al.*2013 · 5,030 citations* 2. **[Recurrent Models of Visual Attention ↗](https://arxiv.org/abs/1406.6247) arXiv (Cornell University) · no summary yet**Volodymyr Mnih et al.*2014 · 2,696 citations* 3. **[Asynchronous Methods for Deep Reinforcement Learning ↗](https://arxiv.org/abs/1602.01783) arXiv:1602.01783 · ICML 2016 · no summary yet**Volodymyr Mnih et al.*2016 · 1,955 citations* 4. **[Multiple Object Recognition with Visual Attention ↗](https://arxiv.org/abs/1412.7755) arXiv (Cornell University) · no summary yet**Jimmy Lei Ba, Volodymyr Mnih, Koray Kavukcuoglu*2014 · 698 citations* 5. [**Massively Parallel Methods for Deep Reinforcement Learning arXiv:1507.04296**Arun Nair, Praveen Srinivasan, Sam Blackwell, et al.*2015 · 427 citations*](https://md.research.elamur.ai/free/en/papers/nair-2015-massively-parallel-methods-deep-reinforcement/) 6. [**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/) 7. **[Sample Efficient Actor-Critic with Experience Replay ↗](https://arxiv.org/abs/1611.01224) arXiv (Cornell University) · no summary yet**Ziyu Wang et al.*2016 · 220 citations* 8. **[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* 9. **[Unsupervised Learning of Object Keypoints for Perception and Control ↗](https://arxiv.org/abs/1906.11883) arXiv (Cornell University) · no summary yet**Tejas D. Kulkarni et al.*2019 · 109 citations* 10. **[Policy Distillation ↗](https://arxiv.org/abs/1511.06295) arXiv (Cornell University) · no summary yet**Andrei A. Rusu et al.*2015 · 108 citations* 11. **[Combining policy gradient and Q-learning ↗](https://arxiv.org/abs/1611.01626) arXiv (Cornell University) · no summary yet**Brendan O’Donoghue et al.*2016 · 98 citations* 12. **[Strategic Attentive Writer for Learning Macro-Actions ↗](https://arxiv.org/abs/1606.04695) arXiv (Cornell University) · no summary yet**Alexander - et al.*2016 · 89 citations* 13. **[Topological map learning from outdoor image sequences ↗](https://doi.org/10.1002/rob.20170) Journal of Field Robotics · no summary yet**Xuming He, Richard S. Zemel, Volodymyr Mnih*2006 · 23 citations* ## Co-authors here 8 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/) - [Joel Z Leibo](https://md.research.elamur.ai/free/en/authors/joel-z-leibo/) - [Koray Kavukcuoglu](https://md.research.elamur.ai/free/en/authors/koray-kavukcuoglu/) - [Max Jaderberg](https://md.research.elamur.ai/free/en/authors/max-jaderberg/) - [Mustafa Suleyman](https://md.research.elamur.ai/free/en/authors/mustafa-suleyman/) - [Shane Legg](https://md.research.elamur.ai/free/en/authors/shane-legg/) - [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. - Journal of Field Robotics ## Cited by Papers of our library cite their works 1,031 times (of the 149,439 papers whose bibliographies we read); [110 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/volodymyr-mnih/cited-by/). Updated 2 November 2026