Playing Games with your PET: Extending the Partial Exploration Tool to Stochastic Games
This work provides a practical tool for verification of probabilistic systems in stochastic games, addressing a specific computational bottleneck in this domain.
The researchers extended the Partial Exploration Tool (PET) to support stochastic games, making PET2 the first tool implementing a sound and efficient approach for solving such games with reachability/safety and mean payoff objectives, with experimental results showing it outperforms even unsound tools in efficiency.
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.