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Télécharger le livre : Simulation-Based Algorithms for Markov Decision Processes
Hyeong Soo Chang , Michael C. Fu , Jiaqiao Hu , Steven I. Marcus
Simulation-Based Algorithms for Markov Decision Processes
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...
Editeur : Springer
Parution : 2013-02-26
Collection : Communications and Control Engineering
Format(s) : ePub
94,94 €
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Télécharger le livre : Simulation-based Algorithms for Markov Decision Processes
feuilleter
Hyeong Soo Chang , Michael C. Fu , Jiaqiao Hu , Steven I. Marcus
Simulation-based Algorithms for Markov Decision Processes
Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality. In others, explicit specification of the MDP model parameters is not feasible, but simulation samples are available. For...
Editeur : Springer
Parution : 2007-05-01
Collection : Communications and Control Engineering
Format(s) : PDF
105,49 €
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