Standout Papers

Human-level control through deep reinforcement learning 2015 2026 2018 2022 13.1k
  1. Human-level control through deep reinforcement learning (2015)
    Volodymyr Mnih, Koray Kavukcuoglu et al. Nature
  2. Mastering the game of Go with deep neural networks and tree search (2016)
    David Silver, Aja Huang et al. Nature
  3. Mastering the game of Go without human knowledge (2017)
    David Silver, Julian Schrittwieser et al. Nature
  4. Continuous control with deep reinforcement learning (2016)
    Timothy Lillicrap, Jonathan J. Hunt et al. arXiv (Cornell University)
  5. Improved protein structure prediction using potentials from deep learning (2020)
    Andrew Senior, K Taki et al. Nature
  6. Deep Reinforcement Learning with Double Q-Learning (2016)
    Hado van Hasselt, Arthur Guez et al. Proceedings of the AAAI Conference on Artificial Intelligence
  7. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (2018)
    David Silver, Thomas Hubert et al. Science
  8. Rainbow: Combining Improvements in Deep Reinforcement Learning (2018)
    Matteo Hessel, Joseph Modayil et al. Proceedings of the AAAI Conference on Artificial Intelligence
  9. Monte-Carlo Planning in Large POMDPs (2010)
    David Silver, Joel Veness DSpace@MIT (Massachusetts Institute of Technology)
  10. Human-level performance in 3D multiplayer games with population-based reinforcement learning (2019)
    Max Jaderberg, Wojciech Marian Czarnecki et al. Science
  11. Deep learning, reinforcement learning, and world models (2022)
    Yutaka Matsuo, Yann LeCun et al. Neural Networks
  12. Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) (2019)
    Andrew Senior, K Taki et al. Proteins Structure Function and Bioinformatics
  13. Discovering faster matrix multiplication algorithms with reinforcement learning (2022)
    Alhussein Fawzi, Matej Balog et al. Nature
  14. Reward is enough (2021)
    David Silver, Satinder Singh et al. Artificial Intelligence

Immediate Impact

21 by Nobel laureates 46 from Science/Nature 87 standout
Sub-graph 1 of 18

Citing Papers

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Works of David Silver being referenced

Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
and 1 more

Author Peers

Author Last Decade Papers Cites
David Silver 16132 962 5243 6862 5700 83 36.7k
Demis Hassabis 15461 807 5130 5806 4273 75 41.8k
Sepp Hochreiter 18063 1344 9499 6935 3770 84 52.4k
Richard S. Sutton 13676 716 2434 4295 4875 105 29.1k
Koray Kavukcuoglu 11325 490 4907 4702 3541 27 27.0k
Jürgen Schmidhuber 27051 1791 13630 10702 5673 160 72.7k
Marco Dorigo 15515 245 4314 3900 3564 312 38.0k
Andrew Lewis 11767 211 3147 5822 4030 107 25.0k
Stephen Boyd 8238 526 6792 15380 11262 255 53.6k
Scott Kirkpatrick 8126 2093 2319 5442 1813 102 44.6k
Dharshan Kumaran 8761 470 3342 3543 2856 55 24.4k

All Works

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2026