Simulation-based Algorithms for Markov Decision Processes

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 : 49,49 MB

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.

Simulation-Based Optimization

Simulation-Based Optimization

File Size : 90,90 MB
Total View : 9905 Views
DOWNLOAD

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based

Constrained Markov Decision Processes

Constrained Markov Decision Processes

File Size : 30,30 MB
Total View : 3665 Views
DOWNLOAD

This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs. Unlike the single co

Algorithms for Reinforcement Learning

Algorithms for Reinforcement Learning

File Size : 58,58 MB
Total View : 1360 Views
DOWNLOAD

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a lon