Optimal and Learning Control for Autonomous Robots
by Jonas Buchli, et al.
Publisher: arXiv.org 2017
Number of pages: 101
Description:
The starting point is the formulation of of an optimal control problem and deriving the different types of solutions and algorithms from there. These lecture notes aim at supporting this unified view with a unified notation wherever possible.
Download or read it online for free here:
Download link
(1.2MB, PDF)
Similar books
![Book cover: Introduction to Machine Learning](images/4493.jpg)
by Amnon Shashua - arXiv
Introduction to Machine learning covering Statistical Inference (Bayes, EM, ML/MaxEnt duality), algebraic and spectral methods (PCA, LDA, CCA, Clustering), and PAC learning (the Formal model, VC dimension, Double Sampling theorem).
(22618 views)
![Book cover: Understanding Machine Learning: From Theory to Algorithms](images/10673.jpg)
by Shai Shalev-Shwartz, Shai Ben-David - Cambridge University Press
This book introduces machine learning and the algorithmic paradigms it offers. It provides a theoretical account of the fundamentals underlying machine learning and mathematical derivations that transform these principles into practical algorithms.
(10582 views)
![Book cover: Practical Artificial Intelligence Programming in Java](images/32.jpg)
by Mark Watson - Lulu.com
The book uses the author's libraries and the best of open source software to introduce AI (Artificial Intelligence) technologies like neural networks, genetic algorithms, expert systems, machine learning, and NLP (natural language processing).
(25020 views)
![Book cover: A Survey of Statistical Network Models](images/10022.jpg)
by A. Goldenberg, A.X. Zheng, S.E. Fienberg, E.M. Airoldi - arXiv
We begin with the historical development of statistical network modeling and then we introduce some examples in the network literature. Our subsequent discussion focuses on prominent static and dynamic network models and their interconnections.
(8713 views)