Michael L. Littman

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Michael L. Littman
Michael Littman at Rutgers 2009.jpg
Born (1966-08-30) August 30, 1966 (age 53)
Alma materBrown University
Yale University
AwardsAAAI Fellow
Scientific career
FieldsComputer Science
InstitutionsBrown University
Rutgers University
Duke University
ThesisAlgorithms for sequential decision-making (1996)
Doctoral advisorLeslie P. Kaelbling

Michael Lederman Littman (born August 30, 1966) is a computer scientist. He works mainly in reinforcement learning, but has done work in machine learning, game theory, computer networking, partially observable Markov decision process solving, computer solving of analogy problems and other areas. He is currently a professor of computer science at Brown University.


Before graduate school, Littman worked with Thomas Landauer at Bellcore and was granted a patent for one of the earliest systems for Cross-language information retrieval. Littman received his Ph.D. in computer science from Brown University in 1996. From 1996 to 1999, he was a professor at Duke University. During his time at Duke, he worked on an automated crossword solver PROVERB, which won an Outstanding Paper Award in 1999 from AAAI and competed in the American Crossword Puzzle Tournament. From 2000 to 2002, he worked at AT&T. From 2002 to 2012, he was a professor at Rutgers University; he chaired the department from 2009-12. In Summer 2012 he returned to Brown University as a full professor. He also appeared in a TurboTax commercial.


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  • Littman, Michael L.; Richard S. Sutton; Satinder Singh (2002). "Predictive Representations of State" (PDF). Advances in Neural Information Processing Systems 14 (NIPS). pp. 1555–1561.
  • Littman, Michael L.; Greg A. Keim; Noam M. Shazeer (1999). "Solving crosswords with PROVERB". Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI). American Association for Artificial Intelligence. pp. 914–915, .CS1 maint: extra punctuation (link)
  • Kaelbling, Leslie P.; Michael L. Littman; Andrew W. Moore (1996). "Reinforcement Learning: A Survey". Journal of Artificial Intelligence Research. 4: 237–285. Archived from the original on 2001-11-20.
  • Littman, Michael L. (1994). "Markov Games as a Framework for Multi-Agent Reinforcement Learning". International Conference on Machine Learning (ICML). pp. 157–163.

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