∃-STRIPS: Existential Quantification in Planning and Constraint Satisfaction

Authors: Guillem Francès, Hector Geffner

IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental Experiments are reported comparing our native 9STRIPS planner with state-of-the-art STRIPS planners over compiled and propositional encodings, and with a Functional STRIPS planner.
Researcher Affiliation Academia Guillem Franc es Universitat Pompeu Fabra Barcelona, Spain guillem.frances@upf.edu Hector Geffner ICREA & Universitat Pompeu Fabra Barcelona, Spain hector.geffner@upf.edu
Pseudocode No The paper describes algorithms but does not contain clearly labeled pseudocode or algorithm blocks.
Open Source Code Yes The source code of ES plus all problem encodings are available on gfrances.github.io/pubs.
Open Datasets Yes We use two sets of instances: first, random instances (100 <= n <= 500, 10 <= k <= 30) where the graph results from adding edges at random to a uniform spanning tree to reach a certain graph density; second, standard instances from a public compilation from the literature, of which we have pruned those instances reported as not solvable in less than 1 hour by state-of-the-art coloring methods or having a chromatic number chi > 10. From the remaining instances, we generate planning problems with a number of colors k in {chi, chi + 1}. https://sites.google.com/site/graphcoloring/
Dataset Splits No The paper does not provide explicit training/validation/test dataset split percentages, absolute counts, or references to predefined splits for reproduction.
Hardware Specification Yes All planners run a maximum of 30 minutes on a cluster with AMD Opteron 6300@2.4Ghz nodes, and are allowed a maximum of 8GB of memory.
Software Dependencies No The paper mentions the Gecode CP solver but does not specify its version number. Other software like Fast-Downward is mentioned without specific versioning.
Experiment Setup Yes FD is configured with the same search strategy; namely, greedy BFS with the h FF heuristic, a single queue, no EHC, and non-delayed evaluation.