Michael L. Littman

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.

Michael L. Littman
Born (1966-08-30) August 30, 1966
Philadelphia, Pennsylvania
NationalityAmerican
Alma materBrown University
Yale University
AwardsAAAI Fellow
Scientific career
FieldsComputer Science
InstitutionsBrown University
Rutgers University
Georgia Institute of Technology
AT&T
Duke University
ThesisAlgorithms for sequential decision-making (1996)
Doctoral advisorLeslie P. Kaelbling
Websitecs.brown.edu/~mlittman/

Career

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]

Awards

See also

References
  • 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

Udacity Courses

References
  1. "Michael Littman | College of Computing". www.cc.gatech.edu. Retrieved 2020-08-19.
  2. 2018 ACM Fellows Honored for Pivotal Achievements that Underpin the Digital Age, Association for Computing Machinery, December 5, 2018
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