Standout Papers

Deep Reinforcement Learning That Matters 2018 2026 2020 2023 631
  1. Deep Reinforcement Learning That Matters (2018)
    Peter Henderson, Riashat Islam et al. Proceedings of the AAAI Conference on Artificial Intelligence

Immediate Impact

2 from Science/Nature 66 standout
Sub-graph 1 of 23

Citing Papers

A guidance to intelligent metamaterials and metamaterials intelligence
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Artificial intelligence in drug development
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2 intermediate papers

Works of Philip Bachman being referenced

Deep Reinforcement Learning That Matters
2018 Standout

Author Peers

Author Last Decade Papers Cites
Philip Bachman 437 186 27 139 13 837
Todd Hester 516 145 10 245 14 973
David Meger 453 214 19 204 21 984
Gabriel Dulac-Arnold 437 106 8 222 8 742
Audrūnas Gruslys 566 101 14 174 10 956
Hamzeh Alabool 396 118 19 153 14 839
Gregory Farquhar 533 97 6 155 9 885
Nantas Nardelli 532 103 5 158 7 887
Ian Osband 541 113 12 182 15 836
Wuquan Deng 306 133 97 175 14 922
Xian-Bing Meng 357 114 15 140 21 725

All Works

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2026