2022
Optimistic and Topological Value Iteration for Simple Stochastic Games
AZEEM, Muqsit; Alexandros EVANGELIDIS; Jan KŘETÍNSKÝ; Alexander SLIVINSKIY; Maximilian WEININGER et al.Základní údaje
Originální název
Optimistic and Topological Value Iteration for Simple Stochastic Games
Autoři
AZEEM, Muqsit; Alexandros EVANGELIDIS; Jan KŘETÍNSKÝ; Alexander SLIVINSKIY a Maximilian WEININGER
Vydání
Automated Technology for Verification and Analysis - 20th International Symposium, ATVA 2022, Virtual Event, October 25-28, 2022, Proceedings, od s. 285-302, 18 s. 2022
Nakladatel
Springer
Další údaje
Typ výsledku
Stať ve sborníku
Označené pro přenos do RIV
Ne
Organizační jednotka
Fakulta informatiky
ISBN
9783031199912
ISSN
Změněno: 17. 3. 2025 14:43, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
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.