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. Continuous control with deep reinforcement learning (2016)
    Timothy Lillicrap, Jonathan J. Hunt et al. arXiv (Cornell University)
  3. Meta-learning with memory-augmented neural networks (2016)
    Adam Santoro, Sergey Bartunov et al. International Conference on Machine Learning
  4. DRAW: A Recurrent Neural Network For Image Generation (2015)
    Karol Gregor, Ivo Danihelka et al. International Conference on Machine Learning

Immediate Impact

36 by Nobel laureates 44 from Science/Nature 80 standout
Sub-graph 1 of 15

Citing Papers

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1 intermediate paper

Works of Daan Wierstra being referenced

Human-level control through deep reinforcement learning
2015 StandoutNatureNobel

Author Peers

Author Last Decade Papers Cites
Daan Wierstra 7844 3118 4158 3545 28 18.3k
Alex Graves 8669 3535 3712 2885 33 19.9k
Marc G. Bellemare 6300 2219 3225 2763 33 15.0k
Martin Riedmiller 6922 2773 3339 2924 50 16.6k
Dharshan Kumaran 8761 3342 3543 2856 55 24.4k
Joel Veness 7566 3058 3157 2672 17 16.2k
Koray Kavukcuoglu 11325 4907 4702 3541 27 27.0k
Shane Legg 5627 2019 2956 2493 20 13.7k
Volodymyr Mnih 5601 2176 2952 2517 16 13.5k
Timothy Lillicrap 8797 2561 3704 2527 58 19.0k
Andrei A. Rusu 7332 3018 3163 2667 9 16.0k

All Works

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2026