| Michael L. Littman | |
|---|---|
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| Residence |  U.S. |
| Fields | Computer Science |
| Institutions | Rutgers University |
Michael L. Littman is a computer scientist. He works mainly in reinforcement learning, but has done work in machine learning, game theory, computer networking and other areas. He is currently a professor of computer science at Rutgers University.
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 Outstanding Paper Award in 1999 from AAAI. From 2000 to 2002, he worked at AT&T. Since 2002, he has been a professor at Rutgers University.
References
- Littman, Michael L.; Richard S. Sutton; Satinder Singh (2002). "Predictive Representations of State". Advances in Neural Information Processing Systems 14 (NIPS). pp. 1555–1561. http://www.eecs.umich.edu/~baveja/Papers/psr.pdf.
- 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,. http://www.cs.duke.edu/research/AI/PAPERS/1999/aaai99-demo.ps.
- Kaelbling, Leslie P.; Michael L. Littman; Andrew W. Moore (1996). "Reinforcement Learning: A Survey". Journal of Artificial Intelligence Research 4: 237–285. http://www.cs.washington.edu/research/jair/abstracts/kaelbling96a.html.
- Littman, Michael L. (1994). "Markov Games as a Framework for Multi-Agent Reinforcement Learning". International Conference on Machine Learning (ICML). pp. 157–163. http://www.cs.rutgers.edu/~mlittman/papers/ml94-final.ps.
External links
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