Experiments for 'Scenario-Based Verification of Uncertain Parametric MDPs'

This artifact accompanies the 2022 article in the International Journal on Software Tools for Technology Transfer (STTT) with the same title. The artifact contains a docker container, which can be unzipped and then loaded with: docker load -i upMDPs_STTT.tar Please refer to the README in the ZIP file for more information, or to the Git repository on https://gitlab.science.ru.nl/tbadings/sttt-scenario. The Python source code from which the Docker container is created is available in the upMDPs_STTT_source.zip file. This zip file contains the exact content of the Git repository above (accessed on August 20, 2024).

Related Organizations

The University of Texas at Austin
United States
RWTH Aachen University
Germany
Radboud University Nijmegen
Netherlands

Keywords

Uncertainty, Verification, Scenario optimization, Markov decision processes

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