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All publications by Alexander L. Strehl
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Reinforcement Learning in Finite MDPs: PAC Analysis
Alexander L. Strehl, Lihong Li and Michael L. Littman
Journal of Machine Learning Research, 2009


Hash Kernels
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander L. Strehl, Alex J. Smola and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Exploration scavenging
John Langford, Alexander L. Strehl and Jennifer Wortman
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Predictive Indexing for Fast Search
Sharad Goel, John Langford and Alexander L. Strehl
Advances in Neural Information Processing Systems 21, 2008


Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. Strehl and Michael L. Littman
Advances in Neural Information Processing Systems 20, 2007


Experience-efficient learning in associative bandit problems
Alexander L. Strehl, Chris Mesterharm, Michael L. Littman and Haym Hirsh
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


PAC model-free reinforcement learning
Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford and Michael L. Littman
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A theoretical analysis of Model-Based Interval Estimation
Alexander L. Strehl and Michael L. Littman
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005