- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
基本説明
Provides practical modeling methods for many real-world problems with high dimensionality or complextity which have not hitherto been treatable with Markov decision processes.
Full Description
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. This book brings the state-of-the-art research together for the first time. It provides practical modeling methods for many real-world problems with high dimensionality or complexity which have not hitherto been treatable with Markov decision processes.
Contents
Markov Decision Processes.- Multi-stage Sampling.- Population-based Evolutionary Approaches.- Ordinal Comparison Method.- Combining Multiple Policies for On-line Control.



