Hyeong Soo Chang & Michael C. Fu 
Simulation-based Algorithms for Markov Decision Processes [PDF ebook] 

Destek

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 these settings, various sampling and population-based numerical algorithms for computing an optimal solution in terms of a policy and/or value function have been developed recently.

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İçerik tablosu

Markov Decision Processes.- Multi-stage Adaptive Sampling Algorithms.- Population-based Evolutionary Approaches.- Model Reference Adaptive Search.- On-line Control Me...

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Yazar hakkında

Steven I. Marcus received his Ph.D. and S.M. from the Massachusetts Institute of Technology in 1975 and 1972, respectively. He received a B.A. from Rice University in...

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Dil İngilizce ● Biçim PDF ● Sayfalar 189 ● ISBN 9781846286902 ● Dosya boyutu 2.3 MB ● Yayımcı Springer London ● Kent London ● Ülke GB ● Yayınlanan 2007 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 2151535 ● Kopya koruma Sosyal DRM

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