Standout Papers

Continuous control with deep reinforcement learning 2016 2026 2019 2022 3.3k
  1. Continuous control with deep reinforcement learning (2016)
    Timothy Lillicrap, Jonathan J. Hunt et al. arXiv (Cornell University)

Immediate Impact

2 by Nobel laureates 3 from Science/Nature 77 standout
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Works of Yuval Tassa being referenced

Continuous control with deep reinforcement learning
2016 Standout
Learning continuous control policies by stochastic value gradients
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Author Peers

Author Last Decade Papers Cites
Yuval Tassa 1454 1085 97 1057 11 3.7k
Tom Erez 1454 1032 103 1054 11 3.6k
Jonathan J. Hunt 1369 931 78 1052 27 3.8k
Jinghong Li 1675 965 133 1129 5 4.8k
Hado van Hasselt 1867 663 87 845 25 3.8k
Nicolas Heess 1798 1115 102 1090 44 4.3k
Kai Arulkumaran 1411 572 87 724 11 4.4k
Christopher J. Watkins 2868 1269 144 1484 12 7.3k
Marc Peter Deisenroth 1971 1255 168 669 58 4.4k
Maurice Clerc 2724 1235 106 1277 26 6.1k
Seyedeh Zahra Mirjalili 2491 787 36 1254 13 4.7k

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