Publication details

Optimistic and Topological Value Iteration for Simple Stochastic Games

Authors

AZEEM Muqsit EVANGELIDIS Alexandros KŘETÍNSKÝ Jan SLIVINSKIY Alexander WEININGER Maximilian

Year of publication 2022
Type Article in Proceedings
Conference Automated Technology for Verification and Analysis - 20th International Symposium, ATVA 2022, Virtual Event, October 25-28, 2022, Proceedings
MU Faculty or unit

Faculty of Informatics

Citation
Doi https://doi.org/10.1007/978-3-031-19992-9_18
Description While value iteration (VI) is a standard solution approach to simple stochastic games (SSGs), it suffered from the lack of a stopping criterion. Recently, several solutions have appeared, among them also “optimistic” VI (OVI). However, OVI is applicable only to one-player SSGs with no end components. We lift these two assumptions, making it available to general SSGs. Further, we utilize the idea in the context of topological VI, where we provide an efficient precise solution. In order to compare the new algorithms with the state of the art, we use not only the standard benchmarks, but we also design a random generator of SSGs, which can be biased towards various types of models, aiding in understanding the advantages of different algorithms on SSGs.

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