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Machine Learning - Lecture 18

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Lecture 18 - State-action Rewards, Finite Horizon MDPs, Dynamical Systems

State-action Rewards, Finite Horizon MDPs, The Concept of Dynamical Systems, Examples of Dynamical Models, Linear Quadratic Regulation (LQR), Linearizing a Non-Linear Model, Computing Rewards, Riccati Equation

Prof. Andrew Ng
CS229 Machine Learning
(Stanford University: Stanford Engineering Everywhere)
http://see.stanford.edu
Date accessed: 2009-05-07
License: Creative Commons Attribution 3.0

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