Deep Learning Machine Learning & Reinforcement Learning With Professor Michael Littman

Professor Michael Littman on Reinforcement Learning, Markov, Machine Learning & Deep Learning

Deep Learning Machine Learning & Reinforcement Learning With Professor Michael Littman Michael L Littman, Royce Family Professor of Teaching Excellence, Professor of Computer Science at Brown Univeristy.

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. In addition, complexity analysis of planning under uncertainty, and algorithms for efficient reinforcement learning.

Furthermore, he has served on the editorial boards of the Journal of Machine Learning Research. In addition, the Journal of Artificial Intelligence Research.

Lastly, in 2013, he was general chair of the International Conference on Machine Learning (ICML). Furtherore, the program co-chair of the Association for the Advancement of Artificial Intelligence Conference and he served as program co-chair of ICML 2009.

Artificial Intelligence & Machine Learning – Rebellion Research

Deep Learning Machine Learning & Reinforcement Learning With Professor Michael Littman

Professor Littman worked on what became of Bell Labs. After the US Government break up of the AT&T company into smaller pieces.

Moreover, Professor Littman began his career at Brown University’s Mathematics department. In addition he received his PHD from Brown University and began his Machine Learning journey. Fittingly his life has taken a circular turn. Where now after time teaching at Duke University and being a chair at Rutgers University, Professor Littman is now back where he started in the Providence Rhode Island area.

In conclusion, we thank the good professor for joining us and sharing his feelings on Reinforcement Learning and Deep Learning Machine Learning with us. We look forward to following his work!