Michael L. Littman

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
Michael L. Littman
Michael Littman at Rutgers 2009.jpg
Born (1966-08-30) August 30, 1966 (age 55)
Alma materBrown University
Yale University
AwardsAAAI Fellow
Scientific career
FieldsComputer Science
InstitutionsBrown University
Rutgers University
Georgia Institute of Technology
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 University Professor of Computer Science at Brown University, where he has taught since 2012.


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 has also taught at Georgia Institute of Technology, where he is listed as an adjunct professor.[1]


See also[edit]


  • 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.
  • Kaelbling, Leslie P.; Michael L. Littman; Andrew W. Moore (1996). "Reinforcement Learning: A Survey". Journal of Artificial Intelligence Research. 4: 237–285. doi:10.1613/jair.301.
  • Littman, Michael L. (1994). "Markov Games as a Framework for Multi-Agent Reinforcement Learning". International Conference on Machine Learning (ICML). pp. 157–163.

Press References[edit]

Udacity Courses[edit]


External links[edit]