The logic of adaptive behavior : knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains /

Markov decision processes have become the de facto standard in modeling and solving sequential decision making problems under uncertainty. This book studies lifting Markov decision processes, reinforcement learning and dynamic programming to the first-order (or, relational) setting.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Otterlo, Martijn van
Autor Corporativo: IOS Press
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Washington, D.C. : Ios Press, ©2009.
Colección:Frontiers in artificial intelligence and applications ; v. 192.
Temas:
Decision making > Mathematical models.
Sequential analysis.
Adaptive control systems.
Uncertainty (Information theory)
Computer algorithms.
Decision Support Techniques
Algorithms
Prise de décision > Modèles mathématiques.
Analyse séquentielle.
Systèmes adaptatifs.
Incertitude (Théorie de l'information)
Algorithmes.
algorithms.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Title page; Preface; Contents; CHAPTER 1. Introduction; 1.1. Science and Engineering of Adaptive Behavior; 1.2. You Can Only Learn What You Can Represent; 1.3. About the Contents and Structure of this Book; PART I. Learning Sequential Decision Making under Uncertainty; CHAPTER 2. Markov Decision Processes: Concepts and Algorithms; CHAPTER 3. Generalization and Abstraction in Markov Decision Processes; PART II. Sequential Decisions in the First-Order Setting; CHAPTER 4. Reasoning, Learning and Acting in Worlds with Objects; CHAPTER 5. Model-Free Algorithms for Relational MDPs.

Ejemplares similares