Shie Mannor

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Huan XuAlibaba IncVerified email at alibaba-inc.com
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Warren GrossProfessor of Electrical and Computer Engineering, McGill UniversityVerified email at mcgill.ca
Tom ZahavySenior Research Scientist, DeepMindVerified email at deepmind.com
Nahum ShimkinProfessor of Electrical Engineering, TechnionVerified email at ee.technion.ac.il
Aviv TamarTechnionVerified email at technion.ac.il
Ron MeirProfessor of Electrical Engineeringe, TechnionVerified email at ee.technion.ac.il
Daniel J. MankowitzGoogle DeepmindVerified email at google.com
Mohammad GhavamzadehGoogle ResearchVerified email at google.com
John TsitsiklisProfessor of Electrical Engineering, MITVerified email at mit.edu
Yonathan EfroniMicrosoft Research, New YorkVerified email at microsoft.com
Gal DalalSr. Research Scientist, NvidiaVerified email at nvidia.com
Yaakov EngelAppleVerified email at apple.com
Timothy A MannMetaVerified email at fb.com
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Chen TesslerResearch Scientist, NVIDIA ResearchVerified email at nvidia.com
Saied HematiAssociate Professor, Electrical Engineering Department, Linköping UniversityVerified email at liu.se
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
Dotan Di CastroBosch Center for AI, Haifa, IsraelVerified email at bosch.com
Ramesh JohariProfessor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu

Shie Mannor

Professor of Electrical Engineering @ Technion & Researcher @ Nvidia Research

Verified email at technion.ac.il - Homepage

Machine learning Reinforcement learning Learning Theory Markov Decision Processes


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Tutorial on the Cross-Entropy Method B DE, P KROESE, S MANNOR Annals of Operations Research 134 (1), 19-67, 2005	2291*	2005
The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004	1052	2004
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. E Even-Dar, S Mannor, Y Mansour, S Mahadevan Journal of machine learning research 7 (6), 2006	534	2006
Robustness and Regularization of Support Vector Machines. H Xu, C Caramanis, S Mannor Journal of machine learning research 10 (7), 2009	467	2009
Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir ICML, 201-208, 2005	451	2005
PAC bounds for multi-armed bandit and Markov decision processes E Even-Dar, S Mannor, Y Mansour International Conference on Computational Learning Theory, 255-270, 2002	415	2002
The sample complexity of exploration in the multi-armed bandit problem S Mannor, JN Tsitsiklis Journal of Machine Learning Research 5 (Jun), 623-648, 2004	395	2004
Robustness and generalization H Xu, S Mannor Machine learning 86 (3), 391-423, 2012	352	2012
Bayesian reinforcement learning: A survey M Ghavamzadeh, S Mannor, J Pineau, A Tamar Foundations and Trends® in Machine Learning 8 (5-6), 359-483, 2015	339	2015
A deep hierarchical approach to lifelong learning in minecraft C Tessler, S Givony, T Zahavy, D Mankowitz, S Mannor Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	328	2017
Q-cut—dynamic discovery of sub-goals in reinforcement learning I Menache, S Mannor, N Shimkin European conference on machine learning, 295-306, 2002	316	2002
Robust regression and lasso H Xu, C Caramanis, S Mannor Advances in neural information processing systems 21, 2008	303	2008
Dynamic abstraction in reinforcement learning via clustering S Mannor, I Menache, A Hoze, U Klein Proceedings of the twenty-first international conference on Machine learning, 71, 2004	286	2004
Bayes meets Bellman: The Gaussian process approach to temporal difference learning Y Engel, S Mannor, R Meir Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003	279	2003
Percentile optimization for Markov decision processes with parameter uncertainty E Delage, S Mannor Operations research 58 (1), 203-213, 2010	263*	2010
Basis function adaptation in temporal difference reinforcement learning I Menache, S Mannor, N Shimkin Annals of Operations Research 134 (1), 215-238, 2005	235	2005
Reward constrained policy optimization C Tessler, DJ Mankowitz, S Mannor arXiv preprint arXiv:1805.11074, 2018	228	2018
Fully parallel stochastic LDPC decoders SS Tehrani, S Mannor, WJ Gross IEEE Transactions on Signal Processing 56 (11), 5692-5703, 2008	225	2008
Risk-sensitive and robust decision-making: a cvar optimization approach Y Chow, A Tamar, S Mannor, M Pavone Advances in neural information processing systems 28, 2015	218	2015
Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International conference on machine learning, 1899-1908, 2016	211	2016

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