An Empirical Evaluation of Interval Estimation for Markov Decision Processes. - Alexander L. Strehl; Michael L. Littman (ICTAI, 2004)

Ternary codes through ternary designs. - Alexander L. Strehl (Australas. J Comb., 2004)

A theoretical analysis of Model-Based Interval Estimation. - Alexander L. Strehl; Michael L. Littman (ICML, 2005)

Efficient Exploration With Latent Structure. - Bethany R. Leffler; Michael L. Littman; Alexander L. Strehl; Thomas J. Walsh 001 (Robotics: Science and Systems, 2005)

A hierarchical approach to efficient reinforcement learning in deterministic domains. - Carlos Diuk; Alexander L. Strehl; Michael L. Littman (AAMAS, 2006)

PAC model-free reinforcement learning. - Alexander L. Strehl; Lihong Li 001; Eric Wiewiora; John Langford 001; Michael L. Littman (ICML, 2006)

Experience-efficient learning in associative bandit problems. - Alexander L. Strehl; Chris Mesterharm; Michael L. Littman; Haym Hirsh (ICML, 2006)

Incremental Model-based Learners With Formal Learning-Time Guarantees. - Alexander L. Strehl; Lihong Li 001; Michael L. Littman (UAI, 2006)

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

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

Expediting RL by using graphical structures. - Peng Dai 001; Alexander L. Strehl; Judy Goldsmith (AAMAS (3), 2008)

Exploration scavenging. - John Langford 001; Alexander L. Strehl; Jennifer Wortman (ICML, 2008)

Probably Approximately Correct (PAC) Exploration in Reinforcement Learning. - Alexander L. Strehl (ISAIM, 2008)

Predictive Indexing for Fast Search. - Sharad Goel; John Langford 001; Alexander L. Strehl (NIPS, 2008)

An analysis of model-based Interval Estimation for Markov Decision Processes. - Alexander L. Strehl; Michael L. Littman (J. Comput. Syst. Sci., 2008)

Conditional Probability Tree Estimation Analysis and Algorithms. - Alina Beygelzimer; John Langford 001; Yury Lifshits; Gregory B. Sorkin; Alexander L. Strehl (UAI, 2009)

Hash Kernels. - Qinfeng Shi; James Petterson; Gideon Dror; John Langford 001; Alexander J. Smola; Alexander L. Strehl; Vishy Vishwanathan (AISTATS, 2009)

Reinforcement Learning in Finite MDPs: PAC Analysis. - Alexander L. Strehl; Lihong Li 001; Michael L. Littman (J. Mach. Learn. Res., 2009)

Learning from Logged Implicit Exploration Data. - Alexander L. Strehl; John Langford 001; Lihong Li 001; Sham M. Kakade (NIPS, 2010)

Learning from Logged Implicit Exploration Data - Alexander L. Strehl; John Langford 001; Sham M. Kakade (CoRR, 2010)

Associative Reinforcement Learning. - Alexander L. Strehl (Encyclopedia of Machine Learning, 2010)

Knows what it knows: a framework for self-aware learning. - Lihong Li 001; Michael L. Littman; Thomas J. Walsh 001; Alexander L. Strehl (Mach. Learn., 2011)

Associative Reinforcement Learning. - Alexander L. Strehl (Encyclopedia of Machine Learning and Data Mining, 2017)