EUR 73,88
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 700.
EUR 88,09
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 88,18
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
EUR 100,49
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 91,30
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 105,61
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.Automated decision-making systems or decision-support systems-used in applications that range from aircraft collision avoidance to breast cancer screening-must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Mit Press, 2022
Idioma: Inglés
Librería: Books in my Basket, New Delhi, India
EUR 91,06
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. ISBN:9780262047012.
EUR 93,90
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 700.
EUR 99,75
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 700.
EUR 91,29
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 98,27
Convertir monedaCantidad disponible: 10 disponibles
Añadir al carritoCondición: New. 2022. Hardcover. . . . . .
EUR 102,34
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. In.
EUR 93,48
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 1239.
EUR 113,40
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Brand New. 704 pages. 9.00x8.00x1.50 inches. In Stock.
EUR 78,24
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: NEW.
EUR 121,97
Convertir monedaCantidad disponible: 10 disponibles
Añadir al carritoCondición: New. 2022. Hardcover. . . . . . Books ship from the US and Ireland.
EUR 131,14
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoHardcover. Condición: New. Special order direct from the distributor.
Publicado por MIT Press Ltd Aug 2022, 2022
ISBN 10: 0262047012 ISBN 13: 9780262047012
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 113,85
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.Automated decision-making systems or decision-support systemsused in applications that range from aircraft collision avoidance to breast cancer screeningmust be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
EUR 148,91
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 163,15
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 704 pages. 9.00x8.00x1.50 inches. In Stock.
EUR 150,78
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.Automated decision-making systems or decision-support systems-used in applications that range from aircraft collision avoidance to breast cancer screening-must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.