|Version 1 (modified by behrens, 19 months ago)|
Machine Learning with Robotics
Back to projects index
|Project Title||Author / Institution|
|CSCI 4155/6505_ (Weblink)||Thomas Trappenberg / Dalhousie University, Halifax, Canada|
This course discusses learning theories and demonstrates these strategies with robots. The topics include su- pervised learning, in particular maximum likelihood estimation in stochastic models and statistical learning theory including support vector machines, unsupervised learning which inclused generative models, expecta- tion maximization, and Bolzmann machines, and reinforcement learning including Markov decision processes and temporal difference learning. The course includes introductins to the MATLAB programming environ- ment, a refresher of basic probability theory, and the use of a robotics environment.
Course material including an introduction to the RWTH - Mindstorms NXT Toolbox (chapter 4).