Yaakov Engel

According to our database1, Yaakov Engel authored at least 12 papers between 2001 and 2017.

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Bibliography

2017
Gaussian Process Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2016
Bayesian Policy Gradient and Actor-Critic Algorithms.
J. Mach. Learn. Res., 2016

2010
Gaussian Process Reinforcement Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

2007
Bayesian actor-critic algorithms.
Proceedings of the Machine Learning, 2007

2006
Bayesian Policy Gradient Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Algorithms and representations for reinforcement learning (עם תקציר בעברית, תכן ושער נוסף: אלגוריתמים וייצוגים ללמידה מחיזוקים.; אלגוריתמים וייצוגים ללמידה מחיזוקים.).
PhD thesis, 2005

Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Reinforcement learning with Gaussian processes.
Proceedings of the Machine Learning, 2005

2004
The kernel recursive least-squares algorithm.
IEEE Trans. Signal Process., 2004

2003
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning.
Proceedings of the Machine Learning, 2003

2002
Sparse Online Greedy Support Vector Regression.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Learning Embedded Maps of Markov Processes.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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