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Communication Dans Un Congrès Année : 2021

On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?

Résumé

Understanding the role that plays the extraction phase on identifying potential macro candidates to augment a domain is critical. In this paper, we present a method to analyse the link between extracting macro-operators from non-adjacent actions and the correctness of (1) the frequency and (2) the number of occurrences per plan. We carried out experiments using our method on five benchmark domains and three different planners. We found that extracting macro-operators with only adjacent actions leads to important errors in macro-operator frequency and occurrences per plan.
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Dates et versions

hal-03131351 , version 1 (04-02-2021)

Identifiants

  • HAL Id : hal-03131351 , version 1

Citer

Sandra Castellanos-Paez, Romain Rombourg, Philippe Lalanda. On the Relevance of Extracting Macro-operators with Non-adjacent Actions: Does It Matter?. 13th International Conference on Agents and Artificial Intelligence, Feb 2021, Vienne, Austria. ⟨hal-03131351⟩
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