Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning

Authors

  • Joschka Gross Saarland University, Saarland Informatics Campus
  • Alvaro Torralba CISPA Heimholz Center, Saarland Informatics Campus
  • Maximilian Fickert Saarland University, Saarland Informatics Campus

DOI:

https://doi.org/10.1609/aaai.v34i06.6541

Abstract

Novelty pruning is a planning technique that focuses on exploring states that are novel, i.e., those containing facts that have not been seen before. This seemingly simple idea has had a huge impact on the state of the art in planning though its effectiveness is not entirely understood yet.

We relate novelty to dominance pruning, which compares states to previously seen states to eliminate those that are provably worse in terms of goal distance. Novelty can be interpreted as an unsafe approximation of dominance, where states containing novel facts are relevant because they enable new paths to the goal and, therefore, they are less likely to be dominated by others. This provides a framework to understand the success of novelty, resulting in new variants that combine both techniques.

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Published

2020-04-03

How to Cite

Gross, J., Torralba, A., & Fickert, M. (2020). Novel Is Not Always Better: On the Relation between Novelty and Dominance Pruning. Proceedings of the AAAI Conference on Artificial Intelligence, 34(06), 9875-9882. https://doi.org/10.1609/aaai.v34i06.6541

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Section

AAAI Technical Track: Planning, Routing, and Scheduling