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From Markov Chains to Stochastic Games

  • Neyman A
Springer Netherlands, (2003), 9-25
DOI: 10.1007/978-94-010-0189-2_2
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Abstract

Markov chains1 and Markov decision processes (MDPs) are special cases of stochastic games. Markov chains describe the dynamics of the states of a stochastic game where each player has a single action in each state. Similarly, the dynamics of the states of a...

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APA

Neyman, A. (2003). From Markov Chains to Stochastic Games. In Stochastic Games and Applications (pp. 9–25). Springer Netherlands. https://doi.org/10.1007/978-94-010-0189-2_2

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