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Anna Wilhelm

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers
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2

ECAI Conference 2025 Conference Paper

Conditional Dominance Analysis for Classical Planning

  • Anna Wilhelm
  • Álvaro Torralba

Dominance analysis methods compare pairs of states in a planning task to prove that one is at least as close to the goal as other. Existing methods compute fact-dominance relations, which identify facts that are at least as good as others in any situation. However, this is only possible when a fact is at least as good as another in every single possible context. We introduce a new notion of conditional dominance, which can identify that a fact dominates another under certain conditions. We extend previous methods to compute dominance by taking into account a set of “contexts” in order to find maximal dominance relations. We propose several strategies to find relevant contexts automatically and show that even with one single condition, one can achieve significant pruning in certain domains.

ICAPS Conference 2018 Conference Paper

On Stubborn Sets and Planning with Resources

  • Anna Wilhelm
  • Marcel Steinmetz
  • Jörg Hoffmann 0001

Stubborn sets are a well-established technique to admissibly prune permutable parts of forward search in classical planning. But what about planning with resources? The identification of effective stubborn sets relies on non-interfering actions. Yet, a priori, all actions affecting the same resource interfere. We show how to exploit the fact that, nevertheless, with commutativity of addition and subtraction, many resource-affecting action sequences are permutable. We design suitable notions of stubborn sets for planning with resources, with and without resource production. We show empirically, on classical IPC benchmarks with discrete resource variables, that our new pruning methods are often, and sometimes dramatically, superior to previous ones. Together with a novel way of automatically identifying the resource variables, this result holds under IPC conditions.

v2026.09.13