Learning Embedded Maps of Markov Processes. - Yaakov Engel; Shie Mannor (ICML, 2001)

Sparse Online Greedy Support Vector Regression. - Yaakov Engel; Shie Mannor; Ron Meir (ECML, 2002)

Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. - Yaakov Engel; Shie Mannor; Ron Meir (ICML, 2003)

The kernel recursive least-squares algorithm. - Yaakov Engel; Shie Mannor; Ron Meir (IEEE Trans. Signal Process., 2004)

Reinforcement learning with Gaussian processes. - Yaakov Engel; Shie Mannor; Ron Meir (ICML, 2005)

Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods. - Yaakov Engel; Peter Szabó; Dmitry Volkinshtein (NIPS, 2005)

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

Bayesian Policy Gradient Algorithms. - Mohammad Ghavamzadeh; Yaakov Engel (NIPS, 2006)

Bayesian actor-critic algorithms. - Mohammad Ghavamzadeh; Yaakov Engel (ICML, 2007)

Gaussian Process Reinforcement Learning. - Yaakov Engel (Encyclopedia of Machine Learning, 2010)

Bayesian Policy Gradient and Actor-Critic Algorithms. - Mohammad Ghavamzadeh; Yaakov Engel; Michal Valko (J. Mach. Learn. Res., 2016)

Gaussian Process Reinforcement Learning. - Yaakov Engel (Encyclopedia of Machine Learning and Data Mining, 2017)