Simulation-Based Algorithms for Markov Decision Processes

• Κύριοι συγγραφείς: Chang, Hyeong Soo (Συγγραφέας), Hu, Jiaqiao (Συγγραφέας), Fu, Michael C. (Συγγραφέας), Marcus, Steven I. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• Έκδοση: 2nd ed. 2013.
• Σειρά: Communications and Control Engineering,
• Θέματα: Engineering.; Operations research.; Decision making.; Algorithms.; System theory.; Management science.; Probabilities.; Control engineering.; Control.; Systems Theory, Control.; Probability Theory and Stochastic Processes.; Operations Research, Management Science.; Algorithm Analysis and Problem Complexity.; Operation Research/Decision Theory.

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.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dim...

Πίνακας περιεχομένων:

• Markov Decision Processes
• Multi-stage Adaptive Sampling Algorithms
• Population-based Evolutionary Approaches
• Model Reference Adaptive Search
• On-line Control Methods via Simulation
• Game-theoretic Methods via Simulation.