Home > Research > Publications & Outputs > Optimal Control of Multiple-Facility Queueing S...
View graph of relations

Optimal Control of Multiple-Facility Queueing Systems

Research output: Contribution to conference - Without ISBN/ISSN Abstract

Published

Standard

Optimal Control of Multiple-Facility Queueing Systems. / Shone, Robert.
2013. Abstract from EURO 26, Joint EURO-INFORMS Conference, Rome, Italy.

Research output: Contribution to conference - Without ISBN/ISSN Abstract

Harvard

Shone, R 2013, 'Optimal Control of Multiple-Facility Queueing Systems', EURO 26, Joint EURO-INFORMS Conference, Rome, Italy, 1/07/13 - 4/07/13.

APA

Shone, R. (2013). Optimal Control of Multiple-Facility Queueing Systems. Abstract from EURO 26, Joint EURO-INFORMS Conference, Rome, Italy.

Vancouver

Shone R. Optimal Control of Multiple-Facility Queueing Systems. 2013. Abstract from EURO 26, Joint EURO-INFORMS Conference, Rome, Italy.

Author

Shone, Robert. / Optimal Control of Multiple-Facility Queueing Systems. Abstract from EURO 26, Joint EURO-INFORMS Conference, Rome, Italy.

Bibtex

@conference{3c3c67ff21bc41d696c7f4c34b51fd91,
title = "Optimal Control of Multiple-Facility Queueing Systems",
abstract = "In this talk we consider queueing systems which are subject to control (e.g. admission control, routing control) by an external decision-maker. These systems can be modelled using Markov Decision Processes (MDPs), and our aim is to determine an optimal {"}policy{"} which specifies the most advantageous decisions to be taken. We discuss how the techniques of stochastic dynamic programming can be used to compute optimal policies, and how the {"}adaptive{"} methods of reinforcement learning can be used to find near-optimal solutions when the dimensionality of the problem becomes too large.",
author = "Robert Shone",
year = "2013",
language = "English",
note = "EURO 26, Joint EURO-INFORMS Conference ; Conference date: 01-07-2013 Through 04-07-2013",

}

RIS

TY - CONF

T1 - Optimal Control of Multiple-Facility Queueing Systems

AU - Shone, Robert

PY - 2013

Y1 - 2013

N2 - In this talk we consider queueing systems which are subject to control (e.g. admission control, routing control) by an external decision-maker. These systems can be modelled using Markov Decision Processes (MDPs), and our aim is to determine an optimal "policy" which specifies the most advantageous decisions to be taken. We discuss how the techniques of stochastic dynamic programming can be used to compute optimal policies, and how the "adaptive" methods of reinforcement learning can be used to find near-optimal solutions when the dimensionality of the problem becomes too large.

AB - In this talk we consider queueing systems which are subject to control (e.g. admission control, routing control) by an external decision-maker. These systems can be modelled using Markov Decision Processes (MDPs), and our aim is to determine an optimal "policy" which specifies the most advantageous decisions to be taken. We discuss how the techniques of stochastic dynamic programming can be used to compute optimal policies, and how the "adaptive" methods of reinforcement learning can be used to find near-optimal solutions when the dimensionality of the problem becomes too large.

M3 - Abstract

T2 - EURO 26, Joint EURO-INFORMS Conference

Y2 - 1 July 2013 through 4 July 2013

ER -