Lecture 19 - Advice for Applying Machine Learning
author: Andrew Ng,
Computer Science Department, Stanford University
published: May 18, 2009, recorded: April 2009, views: 5122
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
published: May 18, 2009, recorded: April 2009, views: 5122
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
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Description
Advice for Applying Machine Learning, Debugging Reinforcement Learning (RL) Algorithm, Linear Quadratic Regularization (LQR), Differential Dynamic Programming (DDP), Kalman Filter & Linear Quadratic Gaussian (LQG), Predict/update Steps of Kalman Filter, Linear Quadratic Gaussian (LQG)
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