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
Aviv TamarTechnionVerified email at technion.ac.il
Tom ZahavyStaff Research Scientist, Google DeepMindVerified email at deepmind.com
Gal DalalSr. Research Scientist, NvidiaVerified email at nvidia.com
Chen TesslerResearch Scientist, NVIDIA ResearchVerified email at nvidia.com
Yonathan EfroniMeta, New YorkVerified email at fb.com
Daniel J. MankowitzGoogle DeepmindVerified email at google.com
Nahum ShimkinProfessor of Electrical Engineering, TechnionVerified email at ee.technion.ac.il
Ron MeirProfessor of Electrical Engineeringe, TechnionVerified email at ee.technion.ac.il
Mohammad GhavamzadehAmazon AGIVerified email at amazon.com
John TsitsiklisProfessor of Electrical Engineering, MITVerified email at mit.edu
Assaf HallakNVIDIA ResearchVerified email at nvidia.com
Dotan Di CastroResearch Manager at Bosch-AI, Haifa, IsraelVerified email at il.bosch.com
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Yaakov EngelAppleVerified email at apple.com
Gal ChechikNVIDIA, Bar Ilan UniversityVerified email at biu.ac.il
Timothy A MannMetaVerified email at fb.com
Kfir Yehuda LevyAssociate Professor at Technion - Israel Institute of TechnologyVerified email at technion.ac.il

Shie Mannor

Professor of Electrical Engineering @ Technion & Researcher @ Nvidia

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	3603*	2005
The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004	1280	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	817	2006
Reward constrained policy optimization C Tessler, DJ Mankowitz, S Mannor arXiv preprint arXiv:1805.11074, 2018	628	2018
Robustness and Regularization of Support Vector Machines. H Xu, C Caramanis, S Mannor Journal of machine learning research 10 (7), 2009	613	2009
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	595	2015
PAC bounds for multi-armed bandit and Markov decision processes E Even-Dar, S Mannor, Y Mansour Computational Learning Theory: 15th Annual Conference on Computational …, 2002	563	2002
Robustness and generalization H Xu, S Mannor Machine learning 86, 391-423, 2012	538	2012
Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir ICML, 201-208, 2005	512	2005
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	504	2004
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	473	2017
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	411	2015
The cross entropy method for classification S Mannor, D Peleg, R Rubinstein Proceedings of the 22nd international conference on Machine learning, 561-568, 2005	401	2005
Robust regression and lasso H Xu, C Caramanis, S Mannor Advances in neural information processing systems 21, 2008	394	2008
Q-cut—dynamic discovery of sub-goals in reinforcement learning I Menache, S Mannor, N Shimkin Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002	377	2002
Policy gradients with variance related risk criteria A Tamar, D Di Castro, S Mannor Proceedings of the twenty-ninth international conference on machine learning …, 2012	364	2012
Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International conference on machine learning, 1899-1908, 2016	356	2016
Percentile optimization for Markov decision processes with parameter uncertainty E Delage, S Mannor Operations research 58 (1), 203-213, 2010	353*	2010
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	341	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	316	2003

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