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Michael L. Littman joined Brown University's Computer Science Department after ten years (including 3 as chair) at Rutgers University. His research in machine learning examines algorithms for decision making under uncertainty. Littman has earned multiple awards for teaching and his research has been recognized with three best-paper awards on the topics of meta-learning for computer crossword solving, complexity analysis of planning under uncertainty, and algorithms for efficient reinforcement learning. He has served on the editorial boards of the Journal of Machine Learning Research and the Journal of Artificial Intelligence Research. In 2013, he was general chair of the International Conference on Machine Learning (ICML) and program co-chair of the Association for the Advancement of Artificial Intelligence Conference and he served as program co-chair of ICML 2009.
Research Interests
Papers共 429 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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Cameron Allen, Aaron Kirtland,Ruo Yu Tao,Sam Lobel, Daniel Scott, Nicholas Petrocelli,Omer Gottesman,Ronald Parr,Michael L. Littman,George Konidaris
arxiv(2024)
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AAAI 2023no. 9 (2023): 10729-10736
Communications of the ACMno. 5 (2023): 36-37
ICMLpp.10461-10481, (2023)
Commun. ACMno. 2 (2023): 35-37
arXiv (Cornell University) (2023)
AISTATSpp.1390-1410, (2023)
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