Empirical approximation in markov games under unbounded payoff: Discounted and average criteria

Research output: Contribution to journalArticle

Original languageAmerican English
Pages (from-to)694-716
Number of pages23
JournalKybernetika
DOIs
StatePublished - 1 Jan 2017

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Random variables
Game
Zero-sum
Empirical Distribution
Approximation
Approximation Scheme
Optimal Strategy
Identically distributed
Discrete-time
Random variable
Unknown
Estimate
Class

Cite this

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title = "Empirical approximation in markov games under unbounded payoff: Discounted and average criteria",
author = "Fernando Luque-V{\'a}squez and Minj{\'a}rez-Sosa, {J. Adolfo}",
year = "2017",
month = "1",
day = "1",
doi = "10.14736/kyb-2017-4-0694",
language = "American English",
pages = "694--716",
journal = "Kybernetika",
issn = "0023-5954",
publisher = "Academy of Sciences of the Czech Republic",

}

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AU - Luque-Vásquez, Fernando

AU - Minjárez-Sosa, J. Adolfo

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Y1 - 2017/1/1

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M3 - Article

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EP - 716

JO - Kybernetika

JF - Kybernetika

SN - 0023-5954

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