Partially Observed Markov Decision Processes

Partially Observed Markov Decision Processes
Author :
Publisher : Cambridge University Press
Total Pages : 491
Release :
ISBN-10 : 9781107134607
ISBN-13 : 1107134609
Rating : 4/5 (609 Downloads)

Book Synopsis Partially Observed Markov Decision Processes by : Vikram Krishnamurthy

Download or read book Partially Observed Markov Decision Processes written by Vikram Krishnamurthy and published by Cambridge University Press. This book was released on 2016-03-21 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, whilst linking theory to real-world applications in controlled sensing. Computations are kept to a minimum, enabling students and researchers in engineering, operations research, and economics to understand the methods and determine the structure of their optimal solution.


Partially Observed Markov Decision Processes Related Books

Partially Observed Markov Decision Processes
Language: en
Pages: 491
Authors: Vikram Krishnamurthy
Categories: Mathematics
Type: BOOK - Published: 2016-03-21 - Publisher: Cambridge University Press

GET EBOOK

This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, whilst linking theory to real-world applicatio
Reinforcement Learning
Language: en
Pages: 653
Authors: Marco Wiering
Categories: Technology & Engineering
Type: BOOK - Published: 2012-03-05 - Publisher: Springer Science & Business Media

GET EBOOK

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding
Markov Decision Processes in Artificial Intelligence
Language: en
Pages: 367
Authors: Olivier Sigaud
Categories: Technology & Engineering
Type: BOOK - Published: 2013-03-04 - Publisher: John Wiley & Sons

GET EBOOK

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning prob
A Concise Introduction to Decentralized POMDPs
Language: en
Pages: 146
Authors: Frans A. Oliehoek
Categories: Computers
Type: BOOK - Published: 2016-06-03 - Publisher: Springer

GET EBOOK

This book introduces multiagent planning under uncertainty as formalized by decentralized partially observable Markov decision processes (Dec-POMDPs). The inten
Probabilistic Graphical Models
Language: en
Pages: 370
Authors: Luis Enrique Sucar
Categories: Computers
Type: BOOK - Published: 2020-12-23 - Publisher: Springer Nature

GET EBOOK

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical models (PGMs) from an engi