CISPA
Browse

File(s) not publicly available

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

conference contribution
posted on 2023-11-29, 18:14 authored by Joschka Groß, Àlvaro Torralba, Maximilian Fickert
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.

History

Preferred Citation

Joschka Groß, Àlvaro Torralba and Maximilian Fickert. Novel Is Not Always Better:On the Relation between Novelty and Dominance Pruning. In: National Conference of the American Association for Artificial Intelligence (AAAI). 2020.

Primary Research Area

  • Trustworthy Information Processing

Name of Conference

National Conference of the American Association for Artificial Intelligence (AAAI)

Legacy Posted Date

2020-12-11

Open Access Type

  • Unknown

BibTeX

@inproceedings{cispa_all_3326, title = "Novel Is Not Always Better:On the Relation between Novelty and Dominance Pruning", author = "Groß, Joschka and Torralba, Àlvaro and Fickert, Maximilian", booktitle="{National Conference of the American Association for Artificial Intelligence (AAAI)}", year="2020", }

Usage metrics

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC