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September 17, 2025Proceedings of the International Conference on Automated Planning and SchedulingOpen Access

A Sampling Approach to Planning with Infinite Domain Control Variables

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Authors

ÁAÁngel Aso-MollarDADiego AinetoESEnrico Scala

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Overview

This approach enhances decision-making in numeric planning with control variables, indicating a breakthrough in handling complex search spaces.

Key Points

  • Significant improvements in planning approaches result from introducing a sampling-based search framework.
  • The Sampling Greedy Best-First Search algorithm demonstrates enhanced efficiency compared to traditional methods.
  • Empirical evaluations highlight the benefits of managing infinite decision spaces through innovative sampling strategies.
  • The method focuses on re-expanding nodes based on future evaluations, effectively managing the search complexity.

Cite This Study

Aso-Mollar et al. (2025) studied this question.

synapsesocial.com/papers/68d4566c31b076d99fa5badchttps://doi.org/10.1609/icaps.v35i1.36111
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