Standout Papers

Deep Reinforcement Learning: A Brief Survey 2017 2026 2020 2023 2.2k
  1. Deep Reinforcement Learning: A Brief Survey (2017)
    Kai Arulkumaran, Marc Peter Deisenroth et al. IEEE Signal Processing Magazine
  2. Generative Adversarial Networks: An Overview (2018)
    Antonia Creswell, Tom White et al. IEEE Signal Processing Magazine

Immediate Impact

6 from Science/Nature 69 standout
Sub-graph 1 of 21

Citing Papers

Machine Learning in Polymer Research
2025 Standout
Artificial intelligence and illusions of understanding in scientific research
2024 StandoutNature
1 intermediate paper

Works of Kai Arulkumaran being referenced

Generative Adversarial Networks: An Overview
2018 Standout

Author Peers

Author Last Decade Papers Cites
Kai Arulkumaran 1411 1052 145 724 11 4.4k
Matthew Lai 2832 709 402 829 6 5.7k
Chris J. Maddison 3590 1001 449 1218 12 7.2k
Klaus Greff 1270 607 200 715 10 3.7k
Thomas Hubert 2845 684 387 852 5 5.7k
Kevin P. Murphy 2093 755 306 578 30 6.4k
Jan Koutník 1289 552 200 712 12 3.6k
Bas R. Steunebrink 1245 526 202 696 11 3.6k
D. E. Goldberg 2083 502 61 874 5 6.4k
Guolin Ke 1863 497 160 664 18 6.6k
Hado van Hasselt 1867 611 119 845 25 3.8k

All Works

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Rankless by CCL
2026