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Gradient-Descent for Randomized Controllers under Partial Observability (Artifact)

Authors: Heck, Linus; Spel, Jip; Junges, Sebastian; Moerman, Joshua; Katoen, Joost-Pieter;

Gradient-Descent for Randomized Controllers under Partial Observability (Artifact)

Abstract

This upload is a VM containing the artifact accompanying our VMCAI '22 paper "Gradient-Descent for Randomized Controllers under Partial Observability". Documentation of how to use and extend the tool or reproduce the paper's experiments is found within the VM.

Supported by DFG RTG 2236 "UnRAVeL" and ERC AdG 787914 FRAPPANT. Supported by the NSF grants 1545126 (VeHICaL) and 1646208, by the DARPA Assured Autonomy program, by Berkeley Deep Drive, and by Toyota under the iCyPhy center.

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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
0
Average
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7
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