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Yaakov Engel
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2010 – 2019
- 2017
- [r2]Yaakov Engel:
Gaussian Process Reinforcement Learning. Encyclopedia of Machine Learning and Data Mining 2017: 548-556 - 2016
- [j2]Mohammad Ghavamzadeh, Yaakov Engel, Michal Valko:
Bayesian Policy Gradient and Actor-Critic Algorithms. J. Mach. Learn. Res. 17: 66:1-66:53 (2016) - 2010
- [r1]Yaakov Engel:
Gaussian Process Reinforcement Learning. Encyclopedia of Machine Learning 2010: 439-447
2000 – 2009
- 2007
- [c7]Mohammad Ghavamzadeh, Yaakov Engel:
Bayesian actor-critic algorithms. ICML 2007: 297-304 - 2006
- [c6]Mohammad Ghavamzadeh, Yaakov Engel:
Bayesian Policy Gradient Algorithms. NIPS 2006: 457-464 - 2005
- [b1]Yaakov Engel:
Algorithms and representations for reinforcement learning (עם תקציר בעברית, תכן ושער נוסף: אלגוריתמים וייצוגים ללמידה מחיזוקים.; אלגוריתמים וייצוגים ללמידה מחיזוקים.). Hebrew University of Jerusalem, Israel, 2005 - [c5]Yaakov Engel, Shie Mannor
, Ron Meir:
Reinforcement learning with Gaussian processes. ICML 2005: 201-208 - [c4]Yaakov Engel, Peter Szabó, Dmitry Volkinshtein:
Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods. NIPS 2005: 347-354 - 2004
- [j1]Yaakov Engel, Shie Mannor
The kernel recursive least-squares algorithm. IEEE Trans. Signal Process. 52(8): 2275-2285 (2004) - 2003
- [c3]Yaakov Engel, Shie Mannor, Ron Meir:
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. ICML 2003: 154-161 - 2002
- [c2]Yaakov Engel, Shie Mannor
Sparse Online Greedy Support Vector Regression. ECML 2002: 84-96 - 2001
- [c1]Yaakov Engel, Shie Mannor:
Learning Embedded Maps of Markov Processes. ICML 2001: 138-145
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