Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Playing Games with Your PET
T2 - Extending the Partial Exploration Tool to Stochastic Games
AU - Meggendorfer, Tobias
AU - Weininger, Maximilian
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2024/7/26
Y1 - 2024/7/26
N2 - We present version 2.0 of the Partial Exploration Tool (Pet), a tool for verification of probabilistic systems. We extend the previous version by adding support for stochastic games, based on a recent unified framework for sound value iteration algorithms. Thereby, Pet2 is the first tool implementing a sound and efficient approach for solving stochastic games with objectives of the type reachability/safety and mean payoff. We complement this approach by developing and implementing a partial-exploration based variant for all three objectives. Our experimental evaluation shows that Pet2 offers the most efficient partial-exploration based algorithm and is the most viable tool on SGs, even outperforming unsound tools.
AB - We present version 2.0 of the Partial Exploration Tool (Pet), a tool for verification of probabilistic systems. We extend the previous version by adding support for stochastic games, based on a recent unified framework for sound value iteration algorithms. Thereby, Pet2 is the first tool implementing a sound and efficient approach for solving stochastic games with objectives of the type reachability/safety and mean payoff. We complement this approach by developing and implementing a partial-exploration based variant for all three objectives. Our experimental evaluation shows that Pet2 offers the most efficient partial-exploration based algorithm and is the most viable tool on SGs, even outperforming unsound tools.
U2 - 10.1007/978-3-031-65633-0_16
DO - 10.1007/978-3-031-65633-0_16
M3 - Conference contribution/Paper
SN - 9783031656323
T3 - Lecture Notes in Computer Science
SP - 359
EP - 372
BT - Computer Aided Verification
A2 - Gurfinkel, Arie
A2 - Ganesh, Vijay
PB - Springer
CY - Cham
ER -