This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

We’re living in the age of Big Data. As the driving force behind everything from search algorithms to surgical robots and machine learning, massive sets of data can be found at the heart of some of ...

Philosophical Transactions: Mathematical, Physical and Engineering Sciences, Vol. 373, No. 2035, Theme issue: New perspectives in offshore wind energy (28 February 2015), pp. 1-9 (9 pages) In this ...

Finite horizon sequential decision problems with a "temporal von Neumann-Morgenstern utility" criterion are analyzed. This criterion, as developed in [7], is a generalization of von ...

MathWorks' Heather Gorr talks about interoperability issues that arise when using multiple programming languages. In Part 2 of this series, MathWorks' Heather Gorr details how to take advantage of ...

This course will introduce basic programming concepts using MATLAB as the programming environment. Topics include an introduction to MATLAB, array manipulation, graphics, script files, data input and ...