A Tutorial On Linear Function Approximators For Dynamic Programming And Reinforcement Learning

Download A Tutorial On Linear Function Approximators For Dynamic Programming And Reinforcement Learning full books in PDF, epub, and Kindle. Read online free A Tutorial On Linear Function Approximators For Dynamic Programming And Reinforcement Learning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
Author :
Publisher :
Total Pages : 76
Release :
ISBN-10 : 1601987617
ISBN-13 : 9781601987617
Rating : 4/5 (617 Downloads)

Book Synopsis A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning by : Alborz Geramifard

Download or read book A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning written by Alborz Geramifard and published by . This book was released on 2013 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning and acting in MDPs. This article reviews such algorithms, beginning with well-known dynamic programming methods for solving MDPs such as policy iteration and value iteration, then describes approximate dynamic programming methods such as trajectory based value iteration, and finally moves to reinforcement learning methods such as Q-Learning, SARSA, and least-squares policy iteration. We describe algorithms in a unified framework, giving pseudocode together with memory and iteration complexity analysis for each. Empirical evaluations of these techniques with four representations across four domains, provide insight into how these algorithms perform with various feature sets in terms of running time and performance.


A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning Related Books

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
Language: en
Pages: 76
Authors: Alborz Geramifard
Categories: Markov processes
Type: BOOK - Published: 2013 - Publisher:

DOWNLOAD EBOOK

A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
Language: en
Pages: 92
Authors: Alborz Geramifard
Categories: Computers
Type: BOOK - Published: 2013-12 - Publisher:

DOWNLOAD EBOOK

This tutorial reviews techniques for planning and learning in Markov Decision Processes (MDPs) with linear function approximation of the value function. Two maj
Reinforcement Learning and Dynamic Programming Using Function Approximators
Language: en
Pages: 335
Authors: Lucian Busoniu
Categories: Computers
Type: BOOK - Published: 2017-07-28 - Publisher: CRC Press

DOWNLOAD EBOOK

From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control the
Inference and Learning from Data
Language: en
Pages: 1165
Authors: Ali H. Sayed
Categories: Computers
Type: BOOK - Published: 2022-11-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Discover techniques for inferring unknown variables and quantities with the second volume of this extraordinary three-volume set.
Reinforcement Learning and Dynamic Programming Using Function Approximators
Language: en
Pages: 280
Authors: Lucian Busoniu
Categories: Computers
Type: BOOK - Published: 2017-07-28 - Publisher: CRC Press

DOWNLOAD EBOOK

From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control the