Algorithms for Decision Making - Rilegato

Kochenderfer, Mykel J.; Wheeler, Tim A.; Wray, Kyle H.

Rilegato

ISBN 10: 0262047012 ISBN 13: 9780262047012

Casa editrice: The MIT Press, 2022

Riassunto

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.

Su questo libro

Informazioni sull'autore

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.

Dettagli dell'edizione

• Editore: The MIT Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0262047012
• ISBN 13: 9780262047012
• Rilegatura: Copertina rigida
• Numero di pagine: 700
• Contatto del produttore: non disponibile
• Persona responsabile: EAS - Easy Access System Europe; gpsr.requests@easproject.com; ; Mustamäe tee 50; Tallinn; 10621; Estonia