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Télécharger le livre : Simulation-Based Algorithms for Markov Decision Processes
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Simulation-Based Algorithms for Markov Decision Processes

Hyeong Soo Chang , Michael C. Fu , Jiaqiao Hu , Steven I. Marcus

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...

Parution : 2013-02-26
Format(s) : ePub
Éditeur : Springer
Collection : Communications and Control Engineering
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94,94 €
Feuilleter Télécharger le livre : Simulation-based Algorithms for Markov Decision Processes
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Simulation-based Algorithms for Markov Decision Processes

Hyeong Soo Chang , Michael C. Fu , Jiaqiao Hu , Steven I. Marcus

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...

Parution : 2007-05-01
Format(s) : PDF
Éditeur : Springer
Collection : Communications and Control Engineering
J'achète
105,49 €

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