Simulation-based Algorithms for Markov Decision Processes
| Author | : Hyeong Soo Chang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 202 |
| Release | : 2007-05-01 |
| ISBN-10 | : 9781846286902 |
| ISBN-13 | : 1846286905 |
| Rating | : 4/5 (905 Downloads) |
Book Synopsis Simulation-based Algorithms for Markov Decision Processes by : Hyeong Soo Chang
Download or read book Simulation-based Algorithms for Markov Decision Processes written by Hyeong Soo Chang and published by Springer Science & Business Media. This book was released on 2007-05-01 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
