World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
25113
World Ranking
969
National Ranking
17

Overview

Shie Mannor is affiliated with the Technion - Israel Institute of Technology in Israel. Their research falls primarily within the field of Computer Science, with significant contributions in subfields including Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Computer Networks and Communications, and Computational Theory and Mathematics.

Their work focuses on several main topics, among which are Reinforcement Learning in Robotics, Advanced Bandit Algorithms Research, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Optimization and Search Problems, Evolutionary Algorithms and Applications, and Smart Grid Energy Management.

Among recent papers authored or co-authored by Shie Mannor are the following:

  • "Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities," 2022, Energy and AI
  • "Exploration-Exploitation in Constrained MDPs," 2020, arXiv (Cornell University)
  • "Abstraction-Based Decision Making for Statistical Properties (Invited Talk)," 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Reinforcement Learning for Datacenter Congestion Control," 2022, ACM SIGMETRICS Performance Evaluation Review
  • "Distributional Robustness and Regularization in Reinforcement Learning," 2020, arXiv (Cornell University)

They have collaborated frequently with several researchers, including:

  • Gal Chechik
  • Gal Dalal
  • Yonathan Efroni
  • Kfir Y. Levy
  • Guy Tennenholtz

Shie Mannor has published extensively in various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Energy and AI
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Their research output includes 174 publications counted under Computer Science, with 127 specifically in Artificial Intelligence and 35 in Management Science and Operations Research. Their focus on reinforcement learning, robotics, and advanced algorithms is emphasized by 104 publications in Reinforcement Learning in Robotics and 56 in Advanced Bandit Algorithms Research.

Best Publications

  • A Tutorial on the Cross-Entropy Method

    Pieter-Tjerk de Boer;Dirk P. Kroese;Shie Mannor;Reuven Y. Rubinstein

  • The kernel recursive least-squares algorithm

    Y. Engel;S. Mannor;R. Meir

  • Efficiency Loss in a Network Resource Allocation Game

    Ramesh Johari;John N. Tsitsiklis

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

    Eyal Even-Dar;Shie Mannor;Yishay Mansour

  • Reinforcement learning with Gaussian processes

    Yaakov Engel;Shie Mannor;Ron Meir

  • Robustness and Regularization of Support Vector Machines

    Huan Xu;Constantine Caramanis;Shie Mannor;Shie Mannor

  • Robustness and generalization

    Huan Xu;Shie Mannor

  • Bayesian Reinforcement Learning: A Survey

    Mohammad Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

  • PAC Bounds for Multi-armed Bandit and Markov Decision Processes

    Eyal Even-Dar;Shie Mannor;Yishay Mansour

  • The Sample Complexity of Exploration in the Multi-Armed Bandit Problem

    Shie Mannor;John N. Tsitsiklis

  • A Deep Hierarchical Approach to Lifelong Learning in Minecraft

    Chen Tessler;Shahar Givony;Tom Zahavy;Daniel J. Mankowitz

  • Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning

    Ishai Menache;Shie Mannor;Nahum Shimkin

  • Dynamic abstraction in reinforcement learning via clustering

    Shie Mannor;Ishai Menache;Amit Hoze;Uri Klein

  • The cross entropy method for classification

    Shie Mannor;Dori Peleg;Reuven Rubinstein

  • Distributionally Robust Markov Decision Processes

    Huan Xu;Shie Mannor

  • Reward Constrained Policy Optimization

    Chen Tessler;Daniel J. Mankowitz;Shie Mannor

  • Bayes meets bellman: the Gaussian process approach to temporal difference learning

    Yaakov Engel;Shie Mannor;Ron Meir

  • Percentile Optimization for Markov Decision Processes with Parameter Uncertainty

    Erick Delage;Shie Mannor

  • Fully Parallel Stochastic LDPC Decoders

    S. Sharifi Tehrani;S. Mannor;W.J. Gross

  • Robust Regression and Lasso

    Huan Xu;Constantine Caramanis;Shie Mannor

  • Convex Optimization: Algorithms and Complexity

    Mohammed Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

Frequent Co-Authors

Huan Xu
Huan Xu Alibaba Group (China)
Constantine Caramanis
Constantine Caramanis The University of Texas at Austin
Warren J. Gross
Warren J. Gross McGill University
Aviv Tamar
Aviv Tamar Technion – Israel Institute of Technology
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Doina Precup
Doina Precup McGill University
Ramesh Johari
Ramesh Johari Stanford University
Ron Meir
Ron Meir Technion – Israel Institute of Technology
Ariel Orda
Ariel Orda Technion – Israel Institute of Technology
Sanjay Shakkottai
Sanjay Shakkottai The University of Texas at Austin

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