决策算法专著Algorithms for Decision Making Mykel J. KochenderferTim A. WheelerKyle H. WrayThis book provides a broad introduction to algorithms for decision making underuncertainty. We cover a wide variety of topics related to decision making, introducing the underlying mathematical problem formulations and the algorithmsfor solving them. Figures, examples, and exercises are provided to convey theintuition behind the various approaches.This text is intended for advanced undergraduates and graduate studentsas well as professionals. The book requires some mathematical maturity andassumes prior exposure to multivariable calculus, linear algebra, and probabilityconcepts. Some review material is provided in the appendix. Disciplines wherethe book would be especially useful include mathematics, statistics, computerscience, aerospace, electrical engineering, and operations research.Fundamental to this textbook are the algorithms, which are all implementedin the Julia programming language. We have found the language to be ideal forspecifying algorithms in human readable form. The priority in the design of thealgorithmic implementations was interpretability rather than efficiency. Industrial applications, for example, may benefit from alternative implementations.Permission is granted, free of charge, to use the code snippets associated withthis book, subject to the condition that the source of the code is acknowledged.