In a ceremony on June 15, 2019, the Association for Computing Machinery (ACM), the world’s largest educational and professional computing society, elevated Professor Michael Littman of Brown CS to the rank of Fellow, the organization's highest membership grade, for contributions to the design and analysis of sequential decision-making algorithms in artificial intelligence. The ACM Fellows Program, initiated in 1993, celebrates the exceptional contributions of leading members of the computing field, and Michael joins a distinguished list of colleagues to whom the ACM and its members look for guidance and leadership in computing and information technology.
"It was an honor to be selected as a Fellow," Michael says, "and I really enjoyed the ceremony and hearing about all the remarkable achievements of the big award winners. Computing is such an exciting field right now and getting to see so many important figures in the field in one place was a total trip."
Michael earned his doctorate from Brown CS in 1996 and has been a member of the faculty since 2012. Currently co-directing Brown’s Humanity-Centered Robotics Initiative, he works mainly in reinforcement learning, but has done research in machine learning, game theory, computer networking, partially observable Markov decision process solving, computer solving of analogy problems, and other areas. He's earned multiple awards for teaching and research and has served on the editorial boards for The Journal of Machine Learning Research and The Journal of Artificial Intelligence Research. He served as General Chair of the International Conference on Machine Learning and Program Chair of the Association for the Advancement of Artificial Intelligence (AAAI) Conference in 2013. He's also an AAAI Fellow and Co-Chair of the upcoming Reinforcement Learning and Decision Making Conference, to be held in 2019 in Montreal.
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