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. Human-level performance in 3D multiplayer games with population-based reinforcement learning (2019)
    Max Jaderberg, Wojciech Marian Czarnecki et al. Science

Immediate Impact

27 by Nobel laureates 31 from Science/Nature 66 standout
Sub-graph 1 of 17

Citing Papers

A foundation model for the Earth system
2025 StandoutNature
Quantum error correction of qudits beyond break-even
2025 StandoutNatureNobel
1 intermediate paper

Works of Charles Beattie being referenced

Human-level control through deep reinforcement learning
2015 StandoutNatureNobel

Author Peers

Author Last Decade Papers Cites
Charles Beattie 1355 1473 983 5569 2950 75 16.3k
Saeid Nahavandi 598 259 223 4477 3914 560 19.1k
Joos Vandewalle 558 303 267 5565 2483 315 22.8k
Kevin W. Bowyer 671 463 605 8591 1542 181 22.3k
Chin‐Teng Lin 1218 195 121 5820 2266 572 18.6k
Johan A. K. Suykens 402 286 235 7192 2418 444 24.1k
Alex Smola 248 134 168 9645 2226 89 25.0k
Sebastian Thrun 320 613 756 10704 3779 164 31.5k
Nitesh V. Chawla 756 381 649 10685 1870 168 22.0k
Taghi M. Khoshgoftaar 355 308 539 9095 1804 303 23.3k
Lawrence Hall 677 555 1904 10315 1577 169 24.0k

All Works

Loading papers...

Rankless by CCL
2026