This book lays the required unifying foundation for sequential decision problems every community can use and refer to. It begins with an introductory section which includes information on unified frameworks, the work of communities in decision-making, sequential learning, and major problem classes in stochastic optimization. The remainder of the book is organized around two major problem classes: state-independent problems (chapter 5-7), and state-dependent problems (chapter 8-onward). In later chapters the author describes a new classification system of functions for making decisions which involves the creation of four new classes of policies: policy function approximations (PFAs), cost function approximations (CFAs), value function approximations (VFAs), and lookahead approximations (DLAs).

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Opdateret den: 21-09-2025 10:02