Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 3 versions
addClaim

Experiments for 'Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates'

Authors: Badings, Thom; Koops, Wietze; Junges, Sebastian; Jansen, Nils;

Experiments for 'Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates'

Abstract

This artifact accompanies the CAV 2025 paper with the title 'Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates'. The zip file in the repository contains two Docker containers, one compatible with AMD/X86 and the other with ARM. After unzipping the main file, the containers can be loaded with: docker load -i cav25_lograsm.tar (X86/AMD version)docker load -i cav25_lograsm-arm.tar (ARM version) Loading this Docker container can take several minutes. Note that only the AMD/X86 version is compatible with CUDA and can be used to run the code on GPU. For more details and installation instructions, we refer to the ReadMe. Alternatively, you can pull the containers from Dockerhub: docker pull thombadings/lograsm:v1 (X86/AMD version)docker pull thombadings/lograsm:v1-arm (ARM version) Depending on your permissions, you may need to run this command with sudo. Please refer to the ReadMe for more information. The source code of the docker container is available on GitHub: https://github.com/LAVA-LAB/lograsm.

Keywords

Reach-avoid control, Formal verification, Supermartingales, Stochastic dynamical systems, Neural network policies

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
Related to Research communities