Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 8456-8464.
https://doi.org/10.24963/ijcai.2025/940
Keywords
- Planning and Scheduling: PS: Mixed discrete/continuous planning
- Planning and Scheduling: PS: Search in planning and scheduling
- Search: S: Heuristic search
- Planning and Scheduling: PS: Planning algorithms
Abstract
In automated planning, control parameters extend standard action representations through the introduction of continuous numeric decision variables. Existing state-of-the-art approaches have primarily handled control parameters as embedded constraints alongside other temporal and numeric restrictions, and thus have implicitly treated them as additional constraints rather than as decision points in the search space. In this paper, we propose an efficient alternative that explicitly handles control parameters as true decision points within a systematic search scheme. We develop a best-first, heuristic search algorithm that operates over infinite decision spaces defined by control parameters and prove a notion of completeness in the limit under certain conditions. Our algorithm leverages the concept of delayed partial expansion, where a state is not fully expanded but instead incrementally expands a subset of its successors. Our results demonstrate that this novel search algorithm is a competitive alternative to existing approaches for solving planning problems involving control parameters.
@inproceedings{ijcai2025p940,
title = {Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions},
author = {Aso-Mollar, Ángel and Aineto, Diego and Scala, Enrico and Onaindia, Eva},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {8456--8464},
year = {2025},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2025/940},
url = {https://doi.org/10.24963/ijcai.2025/940},
}
TY - CPAPER TI - Handling Infinite Domain Parameters in Planning Through Best-First Search with Delayed Partial Expansions AU - Aso-Mollar, Ángel AU - Aineto, Diego AU - Scala, Enrico AU - Onaindia, Eva T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 8456 EP - 8464 DO - 10.24963/ijcai.2025/940 UR - https://doi.org/10.24963/ijcai.2025/940 ER -Copied
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