Anurag Ajay, Seungwook Han, et al.
NeurIPS 2023
The use of Simple Hierarchical Ordered Planner (SHOP) and SHOP2 to investigate research issues in automated planning is discussed. SHOP and SHOP2 use a search-control strategy called ordered task decomposition, which breaks tasks into subtasks and generates the plan's actions in the same order that the plan executor will execute them. SHOP and SHOP2 can do complex inferential reasoning and mixed symbolic/numeric computations. SHOP2's reasoning capabilities let it generate much smaller search spaces than those of most of the other systems.
Anurag Ajay, Seungwook Han, et al.
NeurIPS 2023
Lars Graf, Thomas Bohnstingl, et al.
NeurIPS 2025
Amarachi Blessing Mbakwe, Joy Wu, et al.
NeurIPS 2023
Pol G. Recasens, Yue Zhu, et al.
EuroSys 2024