| A Tutorial on the Cross-Entropy Method B DE, P KROESE, S MANNOR Annals of Operations Research 134 (1), 19-67, 2005 | 3648* | 2005 |
| The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004 | 1290 | 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 | 826 | 2006 |
| Reward constrained policy optimization C Tessler, DJ Mankowitz, S Mannor arXiv preprint arXiv:1805.11074, 2018 | 645 | 2018 |
| Robustness and Regularization of Support Vector Machines. H Xu, C Caramanis, S Mannor Journal of machine learning research 10 (7), 2009 | 619 | 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 | 598 | 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 | 565 | 2002 |
| Robustness and generalization H Xu, S Mannor Machine learning 86, 391-423, 2012 | 550 | 2012 |
| Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir ICML, 201-208, 2005 | 513 | 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 | 512 | 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 | 476 | 2017 |
| Policy gradients with variance related risk criteria D Di Castro, A Tamar, S Mannor arXiv preprint arXiv:1206.6404, 2012 | 421 | 2012 |
| The cross entropy method for classification S Mannor, D Peleg, R Rubinstein Proceedings of the 22nd international conference on Machine learning, 561-568, 2005 | 415 | 2005 |
| 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 |
| Robust regression and lasso H Xu, C Caramanis, S Mannor Advances in neural information processing systems 21, 2008 | 401 | 2008 |
| Q-cut—dynamic discovery of sub-goals in reinforcement learning I Menache, S Mannor, N Shimkin European conference on machine learning, 295-306, 2002 | 383 | 2002 |
| Graying the black box: Understanding dqns T Zahavy, N Ben-Zrihem, S Mannor International conference on machine learning, 1899-1908, 2016 | 355 | 2016 |
| Percentile optimization for Markov decision processes with parameter uncertainty E Delage, S Mannor Operations research 58 (1), 203-213, 2010 | 349* | 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 | 344 | 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 | 315 | 2003 |
Huan XuAlibaba Inc在 alibaba-inc.com 的电子邮件经过验证
