The Path To A Programmable World
By Michael Littman & Samuel Kortchmar, Brown University
How responsive devices – and simple systems for programming them – will shape the world to fit our needs and preferences.
Michael Littman
Disciplines:
Computer Science & StatisticsMichael L. Littman’s research in machine learning examines algorithms for decision-making under uncertainty. He has earned multiple awards for teaching, and his research on meta-learning for computer crossword-solving, complexity analysis of planning under uncertainty, and algorithms for efficient reinforcement learning has been recognized with three best-paper awards. Littman has served on the editorial boards for 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 and program chair of the Association for the Advancement of Artificial Intelligence Conference.
