Artículos relacionados a Multi-Objective Decision Making (Synthesis Lectures...

Multi-Objective Decision Making (Synthesis Lectures on Artificial Intelligence and Machine Learning) - Tapa blanda

 
9783031004483: Multi-Objective Decision Making (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Sinopsis

Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs).

First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the availableinformation about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems.

Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting.

Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Diederik M. Roijers completed his master's in Computing Science at Utrecht University before obtaining his Ph.D. in Artificial Intelligence under the supervision of Shimon Whiteson and Frans A. Oliehoek at the University of Amsterdam in 2016. He then joined the University of Oxford as a postdoctoral research assistant. He was awarded a Postdoctoral Fellowship Grant from the FWO (Research Foundation - Flanders) and started as an FWO Postdoctoral Fellow at the Vrije Universiteit Brussel in October 2016. His research focuses on creating intelligent autonomous systems that assist humans in solving complex problems, especially those with multiple objectives. To this end, he focuses ondecision-theoretic planning and learning, which enable agents to use mathematical models to reason about the environments in which they operate. In the multi-objective problems he has been studying, the agents produce a set of possibly optimal policies that offer different trade-offs with respect to the objectives, to help users make an informed decision.Shimon Whiteson studied English and Computer Science at Rice University before completing his doctorate in Computer Science under the supervision of Peter Stone at the University of Texas at Austin in 2007. He then spent eight years as an Assistant and then an Associate Professor at the University of Amsterdam before joining the University of Oxford as an Associate Professor in 2015. He was awarded an ERC Starting Grant from the European Research Council in 2014. His research focuses on artificial intelligence with the goal of designing, analyzing, and evaluating the algorithms that enable computational systems to acquire and execute intelligent behavior. He is particularly interested in machine learning, with which computers can learn from experience, and decision-theoretic planning, with which they can reason about their goals and deduce behavioral strategies that maximize their utility. In addition to theoretical work on these topics, he has in recent years also focused on applying them to practical problems in robotics and search engine optimization.

"Sobre este título" puede pertenecer a otra edición de este libro.

  • EditorialSpringer
  • Año de publicación2017
  • ISBN 10 3031004485
  • ISBN 13 9783031004483
  • EncuadernaciónTapa blanda
  • IdiomaInglés
  • Número de páginas132
  • Contacto del fabricanteno disponible

Comprar usado

Condición: Como Nuevo
Unread book in perfect condition...
Ver este artículo

EUR 17,37 gastos de envío desde Estados Unidos de America a España

Destinos, gastos y plazos de envío

Comprar nuevo

Ver este artículo

EUR 4,69 gastos de envío desde Reino Unido a España

Destinos, gastos y plazos de envío

Otras ediciones populares con el mismo título

9781627059602: Multi-Objective Decision Making (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Edición Destacada

ISBN 10:  1627059601 ISBN 13:  9781627059602
Editorial: Morgan & Claypool Publishers, 2017
Tapa blanda

Resultados de la búsqueda para Multi-Objective Decision Making (Synthesis Lectures...

Imagen de archivo

Roijers, Diederik M.; Whiteson, Shimon
Publicado por Springer, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Tapa blanda

Librería: Ria Christie Collections, Uxbridge, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. In. Nº de ref. del artículo: ria9783031004483_new

Contactar al vendedor

Comprar nuevo

EUR 40,23
Convertir moneda
Gastos de envío: EUR 4,69
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Shimon Whiteson
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Taschenbuch
Impresión bajo demanda

Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs).First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems.Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting.Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions. 132 pp. Englisch. Nº de ref. del artículo: 9783031004483

Contactar al vendedor

Comprar nuevo

EUR 35,30
Convertir moneda
Gastos de envío: EUR 11,00
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 2 disponibles

Añadir al carrito

Imagen del vendedor

Shimon Whiteson
Publicado por Springer International Publishing, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs).First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi-objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from the availableinformation about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems.Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting.Next, we discuss three promising application domains for multi-objective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions. Nº de ref. del artículo: 9783031004483

Contactar al vendedor

Comprar nuevo

EUR 35,30
Convertir moneda
Gastos de envío: EUR 11,99
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: 1 disponibles

Añadir al carrito

Imagen de archivo

Roijers, Diederik M.; Whiteson, Shimon
Publicado por Springer, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Tapa blanda

Librería: California Books, Miami, FL, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: I-9783031004483

Contactar al vendedor

Comprar nuevo

EUR 42,96
Convertir moneda
Gastos de envío: EUR 6,95
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Roijers, Diederik M.
Publicado por Springer 4/20/2017, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Paperback or Softback

Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback or Softback. Condición: New. Multi-Objective Decision Making 0.53. Book. Nº de ref. del artículo: BBS-9783031004483

Contactar al vendedor

Comprar nuevo

EUR 39,99
Convertir moneda
Gastos de envío: EUR 10,86
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: 5 disponibles

Añadir al carrito

Imagen del vendedor

Roijers, Diederik M.|Whiteson, Shimon
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Tapa blanda
Impresión bajo demanda

Librería: moluna, Greven, Alemania

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can ofte. Nº de ref. del artículo: 608128874

Contactar al vendedor

Comprar nuevo

EUR 32,69
Convertir moneda
Gastos de envío: EUR 19,49
De Alemania a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen de archivo

Roijers, Diederik M.
Publicado por Springer 2017-04, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo PF

Librería: Chiron Media, Wallingford, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9783031004483

Contactar al vendedor

Comprar nuevo

EUR 36,05
Convertir moneda
Gastos de envío: EUR 17,67
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: 10 disponibles

Añadir al carrito

Imagen del vendedor

Zhou, Diederik M.; Hamilton, Shimon
Publicado por Springer, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Tapa blanda

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: 44569076-n

Contactar al vendedor

Comprar nuevo

EUR 37,61
Convertir moneda
Gastos de envío: EUR 17,37
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Zhou, Diederik M.; Hamilton, Shimon
Publicado por Springer, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Nuevo Tapa blanda

Librería: GreatBookPricesUK, Woodford Green, Reino Unido

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: New. Nº de ref. del artículo: 44569076-n

Contactar al vendedor

Comprar nuevo

EUR 39,07
Convertir moneda
Gastos de envío: EUR 17,68
De Reino Unido a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Imagen del vendedor

Zhou, Diederik M.; Hamilton, Shimon
Publicado por Springer, 2017
ISBN 10: 3031004485 ISBN 13: 9783031004483
Antiguo o usado Tapa blanda

Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 44569076

Contactar al vendedor

Comprar usado

EUR 40,12
Convertir moneda
Gastos de envío: EUR 17,37
De Estados Unidos de America a España
Destinos, gastos y plazos de envío

Cantidad disponible: Más de 20 disponibles

Añadir al carrito

Existen otras 3 copia(s) de este libro

Ver todos los resultados de su búsqueda