| The kernel recursive least-squares algorithm Y Engel, S Mannor, R Meir IEEE Transactions on signal processing 52 (8), 2275-2285, 2004 | 1291 | 2004 |
| Reinforcement learning with Gaussian processes Y Engel, S Mannor, R Meir Proceedings of the 22nd international conference on Machine learning, 201-208, 2005 | 513 | 2005 |
| 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 |
| Dynamic model of the octopus arm. I. Biomechanics of the octopus reaching movement Y Yekutieli, R Sagiv-Zohar, R Aharonov, Y Engel, B Hochner, T Flash Journal of neurophysiology 94 (2), 1443-1458, 2005 | 282 | 2005 |
| Sparse online greedy support vector regression Y Engel, S Mannor, R Meir Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002 | 133 | 2002 |
| Bayesian policy gradient algorithms M Ghavamzadeh, Y Engel Advances in neural information processing systems 19, 2006 | 117 | 2006 |
| Algorithms and representations for reinforcement learning Y Engel Hebrew University of Jerusalem, 2005 | 116 | 2005 |
| Learning to control an octopus arm with gaussian process temporal difference methods Y Engel, P Szabo, D Volkinshtein Advances in neural information processing systems 18, 2005 | 99 | 2005 |
| Bayesian actor-critic algorithms M Ghavamzadeh, Y Engel Proceedings of the 24th international conference on Machine learning, 297-304, 2007 | 78 | 2007 |
| Bayesian policy gradient and actor-critic algorithms M Ghavamzadeh, Y Engel, M Valko Journal of Machine Learning Research 17 (66), 1-53, 2016 | 54 | 2016 |
| Learning embedded maps of Markov processes Y Engel, S Mannor Proceedings of the Eighteenth International Conference on Machine Learning …, 2001 | 16 | 2001 |
| Bayesian policy gradient M Ghavamzadeh, Y Engel, M Valko NIPS 17, 2016 | 9 | 2016 |
| Sea Spotter: A fully staring naval IRST system M Engel, A Navot, I Saban, Y Engel, E Arad, N Shahar Infrared Technology and Applications XXXIX 8704, 167-177, 2013 | 9 | 2013 |
| Learning wireless network association control with gaussian process temporal difference methods N Aharony, T Zehavi, Y Engel Proceedings of OPNETWORK, 2005 | 9 | 2005 |
| Bayesian reinforcement learning with gaussian process temporal difference methods Y Engel, S Mannor, R Meir An unpublished manuscript, 2007 | 6 | 2007 |
| Gaussian Process Reinforcement Learning. Y Engel Encyclopedia of Machine Learning, 439-447, 2010 | 5 | 2010 |
| Reinforcement learning with kernels and Gaussian processes Y Engel, S Mannor, R Meir Proceedings of the ICML’05 Workshop on Rich Representations for …, 2005 | 4 | 2005 |
| Kernel recursive least squares Y Engel, S Mannor, R Meir Proc. of 13th European Conference on Machine Learning. Springer, 2002 | 4 | 2002 |
| A dynamical model of the octopus arm R Aharonov, Y Engel, B Hochner, T Flash Neuroscience Letters 237, S1-S2, 1997 | 4 | 1997 |
| Reinforcement Learning with Gaussian Processes: Stochasticity and Action Selection Y Engel, S Mannor, R Meir unpublished, 2004 | 3 | 2004 |
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaZweryfikowany adres z technion.ac.il
