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Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00133936" target="_blank" >RIV/00216224:14330/23:00133936 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/LICS56636.2023.10175771" target="_blank" >http://dx.doi.org/10.1109/LICS56636.2023.10175771</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/LICS56636.2023.10175771" target="_blank" >10.1109/LICS56636.2023.10175771</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives

  • Original language description

    A classic solution technique for Markov decision processes (MDP) and stochastic games (SG) is value iteration (VI). Due to its good practical performance, this approximative approach is typically preferred over exact techniques, even though no practical bounds on the imprecision of the result could be given until recently. As a consequence, even the most used model checkers could return arbitrarily wrong results. Over the past decade, different works derived stopping criteria, indicating when the precision reaches the desired level, for various settings, in particular MDP with reachability, total reward, and mean payoff, and SG with reachability.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2023 38TH ANNUAL ACM/IEEE SYMPOSIUM ON LOGIC IN COMPUTER SCIENCE, LICS

  • ISBN

    9798350335873

  • ISSN

    1043-6871

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    1-14

  • Publisher name

    IEEE

  • Place of publication

    Boston

  • Event location

    Boston

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001036707700042