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Zero-sum discrete-time Markov games with unknown disturbance distribution: discounted and average criteria
This SpringerBrief deals with a class of discrete-time zero-sum Markov games with Borel state and action spaces, and possibly unbounded payoffs, under discounted and average criteria, whose state process evolves according to a stochastic difference equation. The corresponding disturbance process is...
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| Lenguaje: | eng |
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Springer
2020
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-35720-7 http://cds.cern.ch/record/2708773 |