Abstract
In this chapter we present the class of zero-sum Markov games we are interested in. We first introduce the game model which is a collection of objects describing the evolution in time of the games. In addition, in order to define the corresponding game problem, the concept of strategies for players is given along with the optimality criteria that will be analyzed in the next chapters.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dynkin, E.B., Yushkevich, A.A.: Controlled Markov Processes. Springer, New York (1979)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Minjárez-Sosa, J.A. (2020). Zero-Sum Markov Games. In: Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution. SpringerBriefs in Probability and Mathematical Statistics. Springer, Cham. https://doi.org/10.1007/978-3-030-35720-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-030-35720-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35719-1
Online ISBN: 978-3-030-35720-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)