Shie Mannor

Active 2000–2026

455
Papers
22,911
Citations
70
h-index
250
i10-index

Citations

Citations per year for Shie Mannor1980: 1 citations1989: 2 citations2000: 3 citations2001: 2 citations2002: 8 citations2003: 20 citations2004: 38 citations2005: 65 citations2006: 83 citations2007: 136 citations2008: 153 citations2009: 197 citations2010: 280 citations2011: 335 citations2012: 356 citations2013: 423 citations2014: 506 citations2015: 528 citations2016: 611 citations2017: 681 citations2018: 801 citations2019: 1,028 citations2020: 1,308 citations2021: 1,486 citations2022: 1,075 citations2023: 1,020 citations2024: 986 citations2025: 862 citations2026: 272 citations1981–1988: no citations, so these years are not shown1990–1999: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 3,381 citing papers, 25.6% of this breakdownChina: 2,510 citing papers, 19% of this breakdownUnited Kingdom: 756 citing papers, 5.7% of this breakdownCanada: 612 citing papers, 4.6% of this breakdownFrance: 543 citing papers, 4.1% of this breakdownGermany: 538 citing papers, 4.1% of this breakdownIsrael: 381 citing papers, 2.9% of this breakdownIndia: 375 citing papers, 2.9% of this breakdownAustralia: 327 citing papers, 2.5% of this breakdownJapan: 315 citing papers, 2.4% of this breakdownSingapore: 291 citing papers, 2.2% of this breakdownSouth Korea: 238 citing papers, 1.8% of this breakdown
0%25.6%Other 22.2%

Fields

  • Computer Science56.1%
  • Engineering17.8%
  • Decision Sciences14.1%
  • Medicine2%
  • Physics and Astronomy1.6%
  • Mathematics1.4%
  • Other7%

Topics

  • Reinforcement Learning in Robotics8.9%
  • Advanced Bandit Algorithms Research5.4%
  • Machine Learning and Algorithms2.6%
  • Adversarial Robustness in Machine Learning2.1%
  • Data Stream Mining Techniques1.4%
  • Optimization and Search Problems1.4%
  • Other78.2%

Coauthors

All papers

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  1. A Tutorial on the Cross-Entropy Method

    Authors: , , , - Annals of Operations Research, Ann. Oper. Res. 2005 cited by 3,031

  2. Reward Constrained Policy Optimization

    Authors: , , - ICLR (Poster) 2019 cited by 718

  3. Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

    Authors: , , , , , , - Energy and AI 2022 cited by 454

  4. Contextual Markov Decision Processes

    Authors: , , - arXiv (Cornell University), CoRR 2015 cited by 225

  5. The kernel recursive least-squares algorithm

    Authors: , , - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2004 cited by 1,096

  6. Exploration-Exploitation in Constrained MDPs

    Authors: , , - arXiv (Cornell University), CoRR 2020 cited by 147

  7. CALM: Conditional Adversarial Latent Models for Directable Virtual Characters

    Authors: , , , , , - Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, SIGGRAPH (Conference Paper Track) 2023 cited by 62

  8. The cross entropy method for classification

    Authors: , , - conference on Machine learning - ICML '05 2005 cited by 314

  9. Bayesian Reinforcement Learning: A Survey

    Authors: , , , - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2015 cited by 223

  10. Robustness and Generalization

    Authors: , - Machine Learning, COLT 2010 cited by 373

  11. Percentile Optimization for Markov Decision Processes with Parameter Uncertainty

    Authors: , - Operations Research, Oper. Res. 2009 cited by 228

  12. Semantic locality and context-based prefetching using reinforcement learning

    Authors: , , , - ACM SIGARCH Computer Architecture News, ISCA 2015 cited by 105

  13. PAC Bounds for Multi-armed Bandit and Markov Decision Processes

    Authors: , , - Lecture notes in computer science, COLT 2002 cited by 307

  14. Distributional Robustness and Regularization in Reinforcement Learning

    Authors: , - arXiv (Cornell University), CoRR 2020 cited by 39

  15. Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization

    Authors: , , , , - ICML 2024 cited by 26

  16. Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

    Authors: , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2016 cited by 140

  17. Reinforcement Learning for Datacenter Congestion Control

    Authors: , , , , , , , - ACM SIGMETRICS Performance Evaluation Review, AAAI 2022 cited by 29

  18. Reinforcement learning with Gaussian processes

    Authors: , , - conference on Machine learning - ICML '05 2005 cited by 347

  19. Distributionally Robust Markov Decision Processes

    Authors: , - Mathematics of Operations Research, Math. Oper. Res. 2010 cited by 298

  20. Policy Gradients with Variance Related Risk Criteria

    Authors: , , - ICML 2012 cited by 241

  21. Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem

    Authors: , , - 46th Annual Allerton Conference on Communication 2008 cited by 205

  22. Robust MDPs with k-Rectangular Uncertainty

    Authors: , , - Mathematics of Operations Research, Math. Oper. Res. 2016 cited by 62

  23. Efficient Policy Iteration for Robust Markov Decision Processes via Regularization

    Authors: , , , - arXiv (Cornell University), CoRR 2022 cited by 18

  24. Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems

    Authors: , , - Journal of Machine Learning Research, J. Mach. Learn. Res. 2006 cited by 373