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Technical report and data of the ICAPS'22 paper "Beyond Stars - Generalized Topologies for Decoupled Search"

Authors: Gnad, Daniel; Torralba, Álvaro; Fišer, Daniel;

Technical report and data of the ICAPS'22 paper "Beyond Stars - Generalized Topologies for Decoupled Search"

Abstract

This archive contains the technical report of and all code and experimental data from the ICAPS 2022 paper "Beyond Stars – Generalized Topologies for Decoupled Search". The technical report (technical-report.pdf) extends the original paper by providing full proofs for all claims and adding more experimental results. The archive decoupled-fast-downward.zip contains the source code used to obtain the results. For instructions on how to build and run the planner, please see www.fast-downward.org. The command line configurations can be found in the properties files in the experiments-data.zip archive. The archive experiments-data.zip contains the evaluation data obtained using the Lab Python package (https://lab.readthedocs.io/). The data is split into optimal and satisficing planning results. The archive additionally contains the scripts used to generate the tables and plots from the paper.

{"references": ["Gnad, Torralba, Fi\u0161er, ICAPS 2022. Beyond Stars \u2013 Generalized Topologies for Decoupled Search"]}

Keywords

Automated Planning, Artificial Intelligence, Decoupled Search

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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).
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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.
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