Graph-Based Factorization of Classical Planning Problems
Authors: Martin Wehrle, Silvan Sievers, Malte Helmert
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | As a proof of concept, we slightly modified the IPC Visitall domain such that moving and marking as visited are represented by different operators. We applied the Fast Downward planner [Helmert, 2006] to this domain and its factorization, using A with strong stubborn sets as well as IDA with sleep sets. Table 1 shows the resulting number of generated nodes (without the last f-layer to avoid tiebreaking issues) and the runtime in seconds. |
| Researcher Affiliation | Academia | University of Basel, Switzerland {martin.wehrle,silvan.sievers,malte.helmert}@unibas.ch |
| Pseudocode | No | The paper does not contain any clearly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not explicitly state that the source code for their methodology is publicly available, nor does it provide a link. |
| Open Datasets | Yes | As a proof of concept, we slightly modified the IPC Visitall domain such that moving and marking as visited are represented by different operators. |
| Dataset Splits | No | The paper mentions using the 'IPC Visitall domain' but does not specify any training, validation, or test dataset splits, percentages, or methodology for partitioning data. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used to run the experiments (e.g., CPU, GPU models, or memory specifications). |
| Software Dependencies | No | The paper mentions using 'Fast Downward planner [Helmert, 2006]' but does not provide specific version numbers for this software or any other software dependencies. |
| Experiment Setup | No | The paper mentions using IDA with sleep sets and specific heuristics, but it does not provide specific experimental setup details such as hyperparameter values or system-level training settings. |