Michael L. Littman
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|Michael L. Littman|
|Born||August 30, 1966|
|Alma mater||Brown University |
|Institutions||Brown University |
|Thesis||Algorithms for sequential decision-making (1996)|
|Doctoral advisor||Leslie 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.
- Winner of the IFAAMAS Influential Paper Award (2014)
- Winner of the AAAI “Shakey” Award for Overfitting: Machine Learning Music Video (2014)
- Winner of the AAAI “Shakey” Award for Short Video for Aibo Ingenuity (2007)
- Winner of the Warren I. Susman Award for Excellence in Teaching at Rutgers (2011)
- Winner of the Robert B. Cox Award at Duke (1999)
- Winner of the AAAI Outstanding Paper Award (1999)
- Lisa Littman (spouse)
- 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. 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.
- Smart Home Programming: If-Then Statements Make A Comeback- Science 2.0
- Computer Science for the Rest of Us- New York Times
- Many Scientists Dismiss the Fear of Robots- Fortune
- Celebrating the 20th Anniversary of MIME Email Attachments- NJ Tech Weekly
- Humans Beat Poker Bot… Barely -NBC News
- Duke Researchers Pit Computer Against Human Crossword Puzzle Players
- Going Cruciverbalistic- American Scientist