Strehl, Alexander L.

11 publications

MLJ 2011 Knows What It Knows: A Framework for Self-Aware Learning Lihong Li, Michael L. Littman, Thomas J. Walsh, Alexander L. Strehl

UAI 2009 Conditional Probability Tree Estimation Analysis and Algorithms Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl

JMLR 2009 Reinforcement Learning in Finite MDPs: PAC Analysis Alexander L. Strehl, Lihong Li, Michael L. Littman

ICML 2008 Exploration Scavenging John Langford, Alexander L. Strehl, Jennifer Wortman

NeurIPS 2008 Predictive Indexing for Fast Search Sharad Goel, John Langford, Alexander L. Strehl

AAAI 2007 Efficient Structure Learning in Factored-State MDPs Alexander L. Strehl, Carlos Diuk, Michael L. Littman

NeurIPS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning Alexander L. Strehl, Michael L. Littman

ICML 2006 Experience-Efficient Learning in Associative Bandit Problems Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh

UAI 2006 Incremental Model-Based Learners with Formal Learning-Time Guarantees Alexander L. Strehl, Lihong Li, Michael L. Littman

ICML 2006 PAC Model-Free Reinforcement Learning Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman

ICML 2005 A Theoretical Analysis of Model-Based Interval Estimation Alexander L. Strehl, Michael L. Littman