Decision-Theoretic Planning Under Risk-Sensitive Planning Objectives: A study of Artificial Intelligence, Operations Research, and Mathematics - Softcover

Inhaltsangabe

Risk attitudes crucially affect human decision making preferences, especially in scenarios where huge wins or losses are possible, as exemplified by planetary rover navigation, oilspill response, and business applications. Decision-theoretic planners therefore need to take risk aspects into account to serve their users better. This book is an expanded version of my PhD thesis, which is the first comprehensive study of how to incorporate risk attitudes into decision-theoretic planners and solve large-scale planning problems represented as Markov decision process models. After a thorough survey of the field, the book discusses risk-sensitive planning under exponential utility function and more general risk-sensitive utility functions, as well as problems involving both costs and rewards. For exponential utility functions, we focus on solving large-scale problems. For more general risk-sensitive utility functions, the emphasis is on theoretical foundations.

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