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.

�ber die Autorin bzw. den Autor

Mykel Kochenderfer is Associate Professor at Stanford University, where he is Director of the Stanford Intelligent Systems Laboratory (SISL). He is the author of Decision Making Under Uncertainty (MIT Press). Tim Wheeler is a software engineer in the Bay Area, working on autonomy, controls, and decision-making systems. Kochenderfer and Wheeler are coauthors of Algorithms for Optimization (MIT Press). Kyle Wray is a researcher who designs and implements the decision-making systems on real-world robots.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

We sell Brand New University Textbooks to students at very affordable prices. All orders are shipped by Trackable methods only and the tracking number is available within 48 hours of placing the order. We also offer free shipping to USA, Canada and Europe and lowest shipping charges in other countries. We have multiple warehouses to save on the transit time.

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

SMASS Group LLC
1944 Loma Linda Dr, Irving, TX, 75063, U.S.A.

Gesch�ftsbedingungen und Versandinformationen

Verkaufsbedingungen

We sell Brand New Textbooks requied for studies in the Univesity. We have been in this business for the past 14 years and we know how to keep our customers happy and satisfies by providing them the required course material and the most affordable prices.

Widerrufsbelehrung

Versandbedingungen

We ship all orders from our Multiple warehouses by Tracakble method only. We have tie up with Fedex, DHL, UPS and USPS for our logistics requirements. All tracking numbers are available within 48 hours of processing the order.

Versandkosten von USA nach Deutschland

Versandkosten von USA nach Deutschland
Bestellmenge	10 bis 15�Werktage	5 bis 8�Werktage
Erster Artikel	EUR 0.00	EUR 0.00

Die Versandzeiten werden von den Verk�uferinnen und Verk�ufern festgelegt. Sie variieren je nach Versanddienstleister und Standort. Sendungen, die den Zoll passieren, k�nnen Verz�gerungen unterliegen. Eventuell anfallende Abgaben oder Geb�hren sind von der K�uferin bzw. dem K�ufer zu tragen. Die Verk�uferin bzw. der Verk�ufer kann Sie bez�glich zus�tzlicher Versandkosten kontaktieren, um einen m�glichen Anstieg der Versandkosten f�r Ihre Artikel auszugleichen.