Shie Mannor

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	All	Since 2016
Citations	17462	10693
h-index	64	53
i10-index	241	197

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20042005200620072008200920102011201220132014201520162017201820192020202180 150 157 276 309 433 539 659 754 903 1133 1142 1476 1558 2007 2516 3007 113

Co-authors

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
Nahum ShimkinProfessor of Electrical Engineering, TechnionVerified email at ee.technion.ac.il
Ron MeirProfessor of Electrical Engineeringe, TechnionVerified email at ee.technion.ac.il
Tom ZahavyGoogle DeepMindVerified email at google.com
Aviv TamarTechnionVerified email at technion.ac.il
John TsitsiklisProfessor of Electrical Engineering, MITVerified email at mit.edu
Daniel J. MankowitzGoogle DeepmindVerified email at google.com
Mohammad GhavamzadehGoogle ResearchVerified email at google.com
Yaakov EngelAppleVerified email at apple.com
Timothy A MannGoogle DeepMindVerified email at google.com
Yishay MansourTel Aviv UniversityVerified email at tau.ac.il
Saied HematiAssociate Professor, Electrical Engineering Department, Linköping UniversityVerified email at liu.se
Doina PrecupDeepMind and McGill UniversityVerified email at cs.mcgill.ca
Gal DalalPhD from TechnionVerified email at alumni.technion.ac.il
Chen TesslerP.hD. student, Electrical Engineering, Technion Israel Institute of TechnologyVerified email at campus.technion.ac.il
Ramesh JohariProfessor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
Yonathan EfroniMicrosoft Research, New YorkVerified email at microsoft.com
Dotan Di CastroBosch Center for AI, Haifa, IsraelVerified email at bosch.com

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	1694*	2005
The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004	936	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	424	2006
Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir ICML, 201-208, 2005	417	2005
Robustness and Regularization of Support Vector Machines. H Xu, C Caramanis, S Mannor Journal of machine learning research 10 (7), 2009	378	2009
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	344	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	332	2004
Q-cut—dynamic discovery of sub-goals in reinforcement learning I Menache, S Mannor, N Shimkin European Conference on Machine Learning, 295-306, 2002	275	2002
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	255	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	247	2017
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	244	2003
Robustness and generalization H Xu, S Mannor Machine learning 86 (3), 391-423, 2012	243	2012
Percentile optimization for Markov decision processes with parameter uncertainty E Delage, S Mannor Operations research 58 (1), 203-213, 2010	233*	2010
Bayesian reinforcement learning: A survey M Ghavamzadeh, S Mannor, J Pineau, A Tamar arXiv preprint arXiv:1609.04436, 2016	226	2016
Basis function adaptation in temporal difference reinforcement learning I Menache, S Mannor, N Shimkin Annals of Operations Research 134 (1), 215-238, 2005	213	2005
Fully parallel stochastic LDPC decoders SS Tehrani, S Mannor, WJ Gross IEEE Transactions on Signal Processing 56 (11), 5692-5703, 2008	207	2008
Automatic basis function construction for approximate dynamic programming and reinforcement learning PW Keller, S Mannor, D Precup Proceedings of the 23rd international conference on Machine learning, 449-456, 2006	186	2006
Sparse algorithms are not stable: A no-free-lunch theorem H Xu, C Caramanis, S Mannor IEEE transactions on pattern analysis and machine intelligence 34 (1), 187-193, 2011	175	2011
The cross entropy method for fast policy search S Mannor, RY Rubinstein, Y Gat Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003	174	2003
Activity and gait recognition with time-delay embeddings J Frank, S Mannor, D Precup Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010	167	2010

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