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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"]}
Automated Planning, Artificial Intelligence, Decoupled Search
Automated Planning, Artificial Intelligence, Decoupled Search
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