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Title: Approximation, estimation and control of stochastic systems under a randomized discounted cost criterion (English)
Author: González-Hernández, Juan
Author: López-Martínez, Raquiel R.
Author: Minjárez-Sosa, J. Adolfo
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 45
Issue: 5
Year: 2009
Pages: 737-754
Summary lang: English
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Category: math
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Summary: The paper deals with a class of discrete-time stochastic control processes under a discounted optimality criterion with random discount rate, and possibly unbounded costs. The state process $\left\{ x_{t}\right\} $ and the discount process $\left\{ \alpha _{t}\right\} $ evolve according to the coupled difference equations $x_{t+1}=F(x_{t},\alpha _{t},a_{t},\xi _{t}),$ $ \alpha _{t+1}=G(\alpha _{t},\eta _{t})$ where the state and discount disturbance processes $\{\xi _{t}\}$ and $\{\eta _{t}\}$ are sequences of i.i.d. random variables with densities $\rho ^{\xi }$ and $\rho ^{\eta }$ respectively. The main objective is to introduce approximation algorithms of the optimal cost function that lead up to construction of optimal or nearly optimal policies in the cases when the densities $\rho ^{\xi }$ and $\rho ^{\eta }$ are either known or unknown. In the latter case, we combine suitable estimation methods with control procedures to construct an asymptotically discounted optimal policy. (English)
Keyword: discounted cost
Keyword: random rate
Keyword: stochastic systems
Keyword: approximation algorithms
Keyword: density estimation
MSC: 90C40
MSC: 93C55
MSC: 93E10
MSC: 93E20
idZBL: Zbl 1190.93105
idMR: MR2599109
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Date available: 2010-06-02T19:11:43Z
Last updated: 2012-06-06
Stable URL: http://hdl.handle.net/10338.dmlcz/140040
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