The logic of adaptive behavior: knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains
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Bibliographic Details
Main Author: Otterlo, Martijn van (Author)
Format: Electronic eBook
Language:English
Published: Amsterdam Ios Press ©2009
Series:Frontiers in artificial intelligence and applications v. 192
Subjects:
Online Access:Volltext
Item Description:Includes bibliographical references (pages 443-476) and index
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
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
Physical Description:1 Online-Ressource (xvi, 489 pages)
ISBN:9781607504061
1607504065
9781441616869
1441616861
9781586039691
1586039695

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