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Software . 2022
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License: https://opensource.org/licenses/MIT
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Distributed Fleet Management in Noisy Environments via Model-Predictive Control: Reproducibility package for the accepted ICAPS '22 submission

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Mar 2022Publisher:Zenodo
Authors: Bøgh, Simon; Jensen, Peter Gjøl; Kristjansen, Martin; Nyman, Ulrik; Larsen, Kim Guldstrand;

doi: 10.5281/zenodo.6385690 , 10.5281/zenodo.6385689

Distributed Fleet Management in Noisy Environments via Model-Predictive Control: Reproducibility package for the accepted ICAPS '22 submission

Abstract

This object is the reproducibility package for the paper Distributed Fleet Management in Noisy Environments via Model-Predictive Control accepted for publication at ICAPS '22. The package contains the software for executing the experiments, the data presented in the paper, examples of Uppaal models, and scripts for redoing the experiments presented in the paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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