Standout Papers

Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning 1999 2026 2008 2017 1.2k
  1. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)
    Richard S. Sutton, Doina Precup et al. Artificial Intelligence
  2. Deep Reinforcement Learning That Matters (2018)
    Peter Henderson, Riashat Islam et al. Proceedings of the AAAI Conference on Artificial Intelligence
  3. Deep learning, reinforcement learning, and world models (2022)
    Yutaka Matsuo, Yann LeCun et al. Neural Networks
  4. Reward is enough (2021)
    David Silver, Satinder Singh et al. Artificial Intelligence

Immediate Impact

10 by Nobel laureates 18 from Science/Nature 72 standout
Sub-graph 1 of 22

Citing Papers

A Comprehensive Survey of Continual Learning: Theory, Method and Application
2024 Standout
AI for science: Predicting infectious diseases
2024 Standout
2 intermediate papers

Works of Doina Precup being referenced

Deep learning, reinforcement learning, and world models
2022 Standout
An information-theoretic approach to curiosity-driven reinforcement learning
2012
and 2 more

Author Peers

Author Last Decade Papers Cites
Doina Precup 2596 487 424 680 599 148 4.5k
Joëlle Pineau 2323 330 308 724 807 116 4.7k
Chen Ding 2482 478 186 367 1783 69 7.0k
Jacek M. Żurada 2749 373 202 689 1280 133 5.6k
Sameer Singh 2709 291 193 377 875 135 4.6k
Ganapati Panda 1043 223 315 630 368 137 3.1k
Yang Wang 1813 252 190 275 1417 273 5.8k
Plamen Angelov 3500 280 554 1314 831 214 5.9k
Suresh Chandra Satapathy 2187 369 121 292 1383 198 5.5k
Marcin Woźniak 1765 294 163 351 1730 233 5.9k
Ahmad Taher Azar 1949 638 281 1490 1321 306 6.4k

All Works

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Rankless by CCL
2026