🧑‍🔬 David Silver

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2013–2025 · 52 papersEmployment since 2013current🏢GoogleLondon · United Kingdom2025 · 1 papercurrent🏢GoogleMountain View · United States2015–2021 · 24 papers🎓University College LondonLondon · United Kingdom2010–2021 · 23 papersEmployment🎓University of AlbertaEdmonton · Canada2005–2009 · 11 papersEducation until 2009🎓University of MichiganAnn Arbor · United States2019–2021 · 2 papers🏥Royal Devon and Exeter HospitalExeter · United Kingdom2018–2019 · 2 papers🎓Massachusetts Institute of TechnologyCambridge · United States2010–2011 · 2 papers🎓Carnegie Mellon UniversityPittsburgh · United States2009–2010 · 2 papers🎓University of CambridgeCambridge · United Kingdom1997Education until 1997

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Gemini: A Family of Highly Capable Multimodal Models (2023 · 3,050 citations)
   Gemini 1.0 is Google's model family designed to handle several modalities from the very start, rather than attaching vision or speech to a finished text model.
2. Reinforcement Learning with 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

21 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 ↗arXiv:1312.5602 · no summary yetVolodymyr Mnih et al.2013 · 5,030 citations
2. Improved protein structure prediction using potentials from deep learning ↗Nature · no summary yetAndrew Senior et al.2020 · 3,388 citations
3. Deep Reinforcement Learning with Double Q-learning ↗arXiv:1509.06461 · no summary yetHado van Hasselt, Arthur Guez, David Silver2015 · 3,368 citations
4. Gemini: A Family of Highly Capable Multimodal ModelsarXiv:2312.11805Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 3,050 citations
5. Asynchronous Methods for Deep Reinforcement Learning ↗arXiv:1602.01783 · ICML 2016 · no summary yetVolodymyr Mnih et al.2016 · 1,955 citations
6. Human-level performance in 3D multiplayer games with population-based reinforcement learning ↗Science · no summary yetMax Jaderberg et al.2019 · 682 citations
7. StarCraft II: A New Challenge for Reinforcement Learning ↗arXiv (Cornell University) · no summary yetOriol Vinyals et al.2017 · 680 citations
8. Fast gradient-descent methods for temporal-difference learning with linear function approximation ↗International Conference on Machine Learning · no summary yetRichard S. Sutton et al.2009 · 500 citations
9. Applying and improving AlphaFold at CASP14 ↗Proteins Structure Function and Bioinformatics · no summary yetJohn Jumper et al.2021 · 395 citations
10. Reinforcement Learning with Unsupervised Auxiliary TasksarXiv:1611.05397Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.2016 · 319 citations
11. FeUdal Networks for Hierarchical Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAlexander Vezhnevets et al.2017 · 272 citations
12. Imagination-Augmented Agents for Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetThéophane Weber et al.2017 · 241 citations
13. Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation ↗neural information processing systems · no summary yetShalabh Bhatnagar et al.2009 · 161 citations
14. Unsupervised Predictive Memory in a Goal-Directed Agent ↗arXiv (Cornell University) · no summary yetGreg Wayne et al.2018 · 140 citations
15. Decoupled Neural Interfaces using Synthetic Gradients ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2016 · 100 citations
16. Monte-Carlo simulation balancing ↗International Conference on Machine Learning · no summary yetDavid Silver, Gerald J. Tesauro2009 · 92 citations
17. Fast reinforcement learning with generalized policy updates ↗Proceedings of the National Academy of Sciences · no summary yetAndré da Motta Salles Barreto et al.2020 · 81 citations
18. Learning to Win by Reading Manuals in a Monte-Carlo Framework ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetS.R.K. Branavan, David Silver, Regina Barzilay2011 · 73 citations
19. Learning to Search with MCTSnets ↗arXiv:1802.04697 · no summary yetArthur Guez et al.2018 · 30 citations
20. DataRater: Meta-Learned Dataset Curation ↗neural information processing systems · no summary yetDan A. Calian et al.2025 · 4 citations
21. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Non-Linear Monte-Carlo Search in Civilization II ↗no summary yetS. R. K. Branavan, David Silver, Regina Barzilay2012

🤝 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

• Andrew M. Dai
• Gemini Robotics Team
• Jean-Baptiste Alayrac
• Jiahui Yu
• Joel Z Leibo
• Katie Millican
• Koray Kavukcuoglu
• Max Jaderberg
• Melvin Johnson
• Radu Soricut
• Rohan Anil
• Sebastian Borgeaud

Venues

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

• International Conference on Machine Learning ×2
• neural information processing systems ×2
• Nature
• Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
• Proceedings of the National Academy of Sciences
• Proteins Structure Function and Bioinformatics
• Science

🔗 Cited by

Papers of our library cite their works 4,581 times (of the 149,439 papers whose bibliographies we read); 895 citing papers with a page here →.

Updated 2 November 2026

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