Michael Littman


Michael Littman From Wikipedia: Michael Lederman Littman (born August 30, 1966) is a computer scientist. Michael works mainly in reinforcement learning, but has done work in machine learninggame theorycomputer networkingpartially observable Markov decision process solving, computer solving of analogy problems and other areas. He is currently a professor of computer science at Brown University.

Career

Before graduate school, Littman worked with Thomas Landauer at Bellcore and was granted a patent for one of the earliest systems for Cross-language information retrieval. Furthermore, Littman received his Ph.D. in computer science from Brown University in 1996. From 1996 to 1999, he was a professor at Duke University. Moreover, during his time at Duke, he worked on an automated crossword solver PROVERB, which won an Outstanding Paper Award in 1999 from AAAI and competed in the American Crossword Puzzle Tournament. In addition, from 2000 to 2002, Professor Littman worked at AT&T. In addition, from 2002 to 2012, he was a professor at Rutgers University; he chaired the department from 2009-12. In Summer 2012 he returned to Brown University as a full professor. Professor Littman has also taught at Georgia Institute of Technology, where he is listed as an adjunct professor.[1]

In conclusion, Rebellion Research is so grateful to the brilliant and good professor for sharing his views. Furthermore, we at Rebellion are very excited about the use and prospect of Reinforcement Learning. In addition, its many qualities that make it preferable to Deep Learning Machine Learning. Machine Learning has many branches and methods, so deciding which one to use and when can be very difficult! Lastly we hope that Professor Littman will continue teaching on Machine Learning Artificial Intelligence for many many years to come!


Michael Littman

Deep Learning Machine Learning Reinforcement Learning w Prof. Littman


Michael Littman