From Qualitative to Quantitative Dominance Pruning for Optimal Planning
Authors: Álvaro Torralba
IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We run experiments on all the optimal-track STRIPS planning instances from the international planning competitions (IPC 98 IPC 14). All experiments were conducted on a cluster of Intel Xeon E5-2650v3 machines with time (memory) cut-offs of 30 minutes (4 GB). |
| Researcher Affiliation | Academia | Alvaro Torralba Saarland University, Saarland Informatics Campus, Saarbr ucken, Germany torralba@cs.uni-saarland.de |
| Pseudocode | Yes | Algorithm 1: Quantitative LD simulation |
| Open Source Code | No | The paper does not provide an explicit statement or link to open-source code for the methodology described. It refers to a technical report which is a PDF document, not a code repository. |
| Open Datasets | Yes | We run experiments on all the optimal-track STRIPS planning instances from the international planning competitions (IPC 98 IPC 14). |
| Dataset Splits | No | The paper does not provide specific details on dataset splits (e.g., percentages, sample counts, or explicit mention of train/validation/test sets). It mentions using benchmarks from IPC but no split methodology. |
| Hardware Specification | Yes | All experiments were conducted on a cluster of Intel Xeon E5-2650v3 machines with time (memory) cut-offs of 30 minutes (4 GB). |
| Software Dependencies | No | The paper mentions using 'M&S with the merge DFP strategy' but does not provide specific version numbers for software dependencies (e.g., programming languages, libraries, or solvers with their versions). |
| Experiment Setup | Yes | All experiments were conducted on a cluster of Intel Xeon E5-2650v3 machines with time (memory) cut-offs of 30 minutes (4 GB). |