Algorithms For Reinforcement Learning

Adaptive Representations for Reinforcement Learning (repost)  eBooks & eLearning

Posted by rolexmaya at Aug. 19, 2011
Adaptive Representations for Reinforcement Learning (repost)

Adaptive Representations for Reinforcement Learning
Springer; 1st Edition | October 6, 2010 | ISBN-10: 3642139310 | 133 pages | PDF | 4.17 Mb

This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task.

Design of Experiments for Reinforcement Learning  

Posted by advisors at March 4, 2015
Design of Experiments for Reinforcement Learning

Design of Experiments for Reinforcement Learning By Christopher Gatti
2015 | 208 Pages | ISBN: 3319121960 | PDF | 6 MB
Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods (Repost)

Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods - S. Bhatnagar & H.L. Prasad & L.A. Prashanth
English | 2012 | 309 Pages | ISBN: 1447142845 | PDF | 4.5 MB

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fractional estimators for gradient- and Hessian-based methods are presented…

New Data Structures and Algorithms for Logic Synthesis and Verification  eBooks & eLearning

Posted by roxul at Nov. 9, 2016
New Data Structures and Algorithms for Logic Synthesis and Verification

Luca Gaetano Amaru, "New Data Structures and Algorithms for Logic Synthesis and Verification"
English | ISBN: 3319431730 | 2016 | 174 pages | PDF | 5 MB
How Programming Works: Programming Philosophy, Data Structures and Algorithms for Non-Programmers

How Programming Works: Programming Philosophy, Data Structures and Algorithms for Non-Programmers by Guy Lecky-Thompson
English | 17 Oct 2016 | ASIN: B01M3RL56D | 86 Pages | PDF | 583.68 KB

Learn all about variables, data types, loops and decision making with this high-level introduction to computer programming!

New Data Structures and Algorithms for Logic Synthesis and Verification  eBooks & eLearning

Posted by roxul at Oct. 16, 2016
New Data Structures and Algorithms for Logic Synthesis and Verification

Luca Gaetano Amaru, "New Data Structures and Algorithms for Logic Synthesis and Verification"
English | ISBN: 3319431730 | 2016 | 174 pages | PDF | 5 MB
Algorithms for Computational Biology: Third International Conference, AlCoB 2016 (Repost)

María Botón-Fernández, "Algorithms for Computational Biology: Third International Conference, AlCoB 2016"
English | 12 Jun. 2016 | ISBN: 3319388266 | 196 Pages | PDF (True) | 6.15 MB

Scala for Machine Learning by Patrick R. Nicolas [Repost]  eBooks & eLearning

Posted by tanas.olesya at June 1, 2016
Scala for Machine Learning by Patrick R. Nicolas [Repost]

Scala for Machine Learning by Patrick R. Nicolas
English | 2014 | ISBN: 1783558741 | 520 Pages | PDF | 5 MB

The book begins with an introduction to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits.

Kernel Learning Algorithms for Face Recognition (Repost)  eBooks & eLearning

Posted by enmoys at May 28, 2016
Kernel Learning Algorithms for Face Recognition (Repost)

Kernel Learning Algorithms for Face Recognition By Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
2013 | 244 Pages | ISBN: 1461401607 | PDF | 4 MB

"Search Algorithms for Engineering Optimization" ed. by Taufik Abrão  eBooks & eLearning

Posted by exLib at Feb. 27, 2016
"Search Algorithms for Engineering Optimization" ed. by Taufik Abrão

"Search Algorithms for Engineering Optimization" ed. by Taufik Abrão
ITAe | 2013 | ISBN: 9789535109839 | 292 pages | PDF | 15 MB

This book explores a variety of applications for search methods and techniques in different fields of electrical engineering. The book will serve as a useful resource for students, researchers and practitioners to further exploit the potential of search methods in solving hard optimization problems that arise in advanced engineering technologies, such as image and video processing issues, detection and resource allocation in telecommunication systems, security and harmonic reduction in power generation systems, as well as redundancy optimization problem and search-fuzzy learning mechanisms in industrial applications.