Multi-objective Optimization of Long-run Average and Total Rewards: Supplemental Material
Year: 2020
Type: supplementary-materials
Abstract: Supplemental Material for the Paper: Multi-objective Optimization of Long-run Average and Total Rewards by Tim Quatmann and Joost-Pieter Katoen. This artifact contains our implementation for the paper "Multi-objective Optimization of Long-run Average and Total Rewards". The implementation is fully integrated into the model checker Storm. We include the sources and dependencies of Storm as well as the related tools MultiGain and PRISM-games. Moreover, we include model files and scripts for replicating *all* experiments as conducted for the paper. The original logfiles obtained during our experiments are included as well. The artifact has been tested to work with the TACAS 21 Artifact Evaluation VM running Ubuntu 20.04 LTS
Authors: Quatmann, Tim, Katoen, Joost-Pieter
Institution: RWTH Aachen University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4393587355