Simulation-based Algorithms for Markov Decision Processes

Released on by Hyeong Soo Chang
preview-18

  • Simulation-based Algorithms for Markov Decision Processes Book Detail

  • Author : Hyeong Soo Chang
  • Release Date : 2007-05-01
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Pages : 202
  • ISBN 13 : 1846286905
  • File Size : 51,51 MB
DOWNLOAD BOOK

Simulation-based Algorithms for Markov Decision Processes by Hyeong Soo Chang PDF Summary

Book 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.

Disclaimer: www.yourbookbest.com does not own Simulation-based Algorithms for Markov Decision Processes books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Low Rank Approximation

Low Rank Approximation

File Size : 17,17 MB
Total View : 1964 Views
DOWNLOAD

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation. Efficient local optimization

Data-Driven Controller Design

Data-Driven Controller Design

File Size : 16,16 MB
Total View : 2167 Views
DOWNLOAD

Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that hav

Deep Reinforcement Learning

Deep Reinforcement Learning

File Size : 24,24 MB
Total View : 7969 Views
DOWNLOAD

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, g