2023 International Planning Competition Learning Track
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/bybeye/Distincter
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资源简介:
该数据集涵盖了十个领域的规划问题,用于评估Distincter框架及其剪枝方法。此外,该数据集还用于评价不同规划方法的表现,包含了具有对称状态的任务域,这有助于对剪枝技术进行深入评估。这些领域在规模上各不相同,共有十个领域,它们在状态对称性上的程度亦有所不同,所涉及的任务是规划问题解决。
This dataset covers planning problems across ten domains, and is used to evaluate the Distincter framework and its pruning method. Additionally, this dataset also serves to assess the performance of various planning methods, and includes task domains with symmetric states, which facilitates in-depth evaluations of pruning techniques. These ten domains differ in both scale and the degree of state symmetry, and their associated tasks focus on solving planning problems.
提供机构:
International Planning Competition



