Standout Papers

Mastering the game of Go with deep neural networks and tree search 2015 2026 2018 2022 7.0k
  1. Mastering the game of Go with deep neural networks and tree search (2016)
    David Silver, Aja Huang et al. Nature
  2. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play (2018)
    David Silver, Thomas Hubert et al. Science
  3. Dueling Network Architectures for Deep Reinforcement Learning (2015)
    Ziyu Wang, Tom Schaul et al. arXiv (Cornell University)
  4. Deep Q-learning From Demonstrations (2018)
    Todd Hester, Olivier Pietquin et al. Proceedings of the AAAI Conference on Artificial Intelligence

Immediate Impact

19 by Nobel laureates 25 from Science/Nature 62 standout
Sub-graph 1 of 24

Citing Papers

Accurate predictions on small data with a tabular foundation model
2025 StandoutNature
Quantum error correction of qudits beyond break-even
2025 StandoutNatureNobel
1 intermediate paper

Works of Marc Lanctot being referenced

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
2018 StandoutScienceNobel
Mastering the game of Go with deep neural networks and tree search
2016 StandoutNatureNobel

Author Peers

Author Last Decade Papers Cites
Marc Lanctot 5503 503 763 1648 1408 39 10.5k
Thore Graepel 7681 598 998 2117 2021 69 15.7k
Nando de Freitas 4946 231 716 1322 1500 71 10.8k
Arthur Guez 7044 527 845 2424 1891 15 14.4k
Simon Haykin 5524 277 771 2747 1888 31 17.0k
Sander Dieleman 3836 240 462 1266 1449 16 8.1k
Maxwell B. Stinchcombe 5040 1054 1284 1796 1148 42 14.7k
Peter Norvig 5364 385 773 626 1387 53 12.6k
Laurent Sifre 6535 513 738 2110 1727 8 14.8k
Nal Kalchbrenner 4397 260 477 1289 1151 10 8.5k
Shane Legg 5627 265 712 2956 2019 20 13.7k

All Works

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2026