Abstract
A brief account is given of the Dubins and Savage theory of gambling. It is then shown how the techniques of gambling theory can be applied to two-person, zero-sum stochastic games. Most proofs are omitted because they are available elsewhere. Instead we concentrate our efforts on ideas and examples.
Research supported by National Science Foundation Grant DMS-9123358
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Maitra, A., Sudderth, W. (1999). An Introduction to Gambling Theory and Its Applications to Stochastic Games. In: Bardi, M., Raghavan, T.E.S., Parthasarathy, T. (eds) Stochastic and Differential Games. Annals of the International Society of Dynamic Games, vol 4. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1592-9_5
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DOI: https://doi.org/10.1007/978-1-4612-1592-9_5
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