Heuristic Planning for Hybrid Systems
Authors: Wiktor Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni, Fabio Mercorio
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluated the performance of Di No on PDDL+ benchmark domains. Note that the only planner able to deal with the same class of problems as Di No, is UPMurphi. This comparison is useful for our evaluation as it highlights the benefits of the Staged Relaxed Planning Graph+. Table 1 summarises the times taken by Di No and UPMurphi to solve problems in our test suite. ... We have empirically proved Di No s superiority over its competitors for problems set in hybrid domains. |
| Researcher Affiliation | Academia | Wiktor Piotrowski, Maria Fox, Derek Long, Daniele Magazzeni Department of Informatics King s College London Strand Building, Strand London, WC2R 2LS UK wiktor.piotrowski@kcl.ac.uk Fabio Mercorio Department of Statistics and Quantitative Methods C.R.I.S.P. Research Centre University of Milan-Bicocca Milan, Italy |
| Pseudocode | No | The paper describes the mechanisms of the SRPG+ heuristic verbally but does not provide any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper includes 'www.wiktor.co.uk' under 'Additional Resources', but this is a personal website and not explicitly stated to host the source code for the methodology described in the paper. There is no other statement about code availability. |
| Open Datasets | No | The paper mentions 'PDDL+ benchmark domains' but does not provide specific access information (e.g., link, DOI, or formal citation with author/year) for the datasets used in the evaluation, nor explicitly states their public availability in the required format. |
| Dataset Splits | No | The paper does not explicitly describe training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware details such as CPU, GPU models, or memory specifications used for running the experiments. |
| Software Dependencies | No | The paper mentions PDDL+, UPMurphi, VAL, and specific algorithms, but it does not provide specific version numbers for any software dependencies needed to reproduce the experiments. |
| Experiment Setup | Yes | Note that for all domains we used the same time discretisation Δt = 1.0, except non-linear generator where it had to be refined to Δt = 0.5 for problems with 3, 4 and 5 tanks. |