Alexander L. Strehl

According to our database, Alexander L. Strehl authored at least 23 papers between 2004 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2017

Associative Reinforcement Learning.

Alexander L. Strehl

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2011

Knows what it knows: a framework for self-aware learning.

Lihong Li, Michael L. Littman, Thomas J. Walsh, Alexander L. Strehl

Mach. Learn., 2011

2010

Associative Reinforcement Learning.

Alexander L. Strehl

Proceedings of the Encyclopedia of Machine Learning, 2010

Learning from Logged Implicit Exploration Data

Alexander L. Strehl, John Langford, Sham M. Kakade

CoRR, 2010

Learning from Logged Implicit Exploration Data.

Alexander L. Strehl, John Langford, Lihong Li, Sham M. Kakade

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Reinforcement Learning in Finite MDPs: PAC Analysis.

Alexander L. Strehl, Lihong Li, Michael L. Littman

J. Mach. Learn. Res., 2009

Hash Kernels.

Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Conditional Probability Tree Estimation Analysis and Algorithms.

Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl

Proceedings of the UAI 2009, 2009

2008

An analysis of model-based Interval Estimation for Markov Decision Processes.

Alexander L. Strehl, Michael L. Littman

J. Comput. Syst. Sci., 2008

Predictive Indexing for Fast Search.

Sharad Goel, John Langford, Alexander L. Strehl

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Probably Approximately Correct (PAC) Exploration in Reinforcement Learning.

Alexander L. Strehl

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Exploration scavenging.

John Langford, Alexander L. Strehl, Jennifer Wortman

Proceedings of the Machine Learning, 2008

Expediting RL by using graphical structures.

Peng Dai, Alexander L. Strehl, Judy Goldsmith

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Online Linear Regression and Its Application to Model-Based Reinforcement Learning.

Alexander L. Strehl, Michael L. Littman

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Efficient Structure Learning in Factored-State MDPs.

Alexander L. Strehl, Carlos Diuk, Michael L. Littman

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Incremental Model-based Learners With Formal Learning-Time Guarantees.

Alexander L. Strehl, Lihong Li, Michael L. Littman

Proceedings of the UAI '06, 2006

Experience-efficient learning in associative bandit problems.

Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh

Proceedings of the Machine Learning, 2006

PAC model-free reinforcement learning.

Alexander L. Strehl, Lihong Li, Eric Wiewiora, John Langford, Michael L. Littman

Proceedings of the Machine Learning, 2006

A hierarchical approach to efficient reinforcement learning in deterministic domains.

Carlos Diuk, Alexander L. Strehl, Michael L. Littman

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005

Efficient Exploration With Latent Structure.

Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl, Thomas J. Walsh

Proceedings of the Robotics: Science and Systems I, 2005

A theoretical analysis of Model-Based Interval Estimation.

Alexander L. Strehl, Michael L. Littman

Proceedings of the Machine Learning, 2005

2004

Ternary codes through ternary designs.

Alexander L. Strehl

Australas. J Comb., 2004

An Empirical Evaluation of Interval Estimation for Markov Decision Processes.

Alexander L. Strehl, Michael L. Littman

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004