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Rebecca Eifler

3 accepted papers

2021

Learning Temporal Plan Preferences from Examples: An Empirical Study

IJCAI 2021poster

Temporal plan preferences are natural and important in a variety of applications. Yet users often find it difficult to formalize their preferences. Here we explore the possibility to learn preferences from example plans. Focusing on one preference at a time, the user is asked to annotate examples as…

Cited by 2SourcePDFScholar
2020

Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties

IJCAI 2020poster

Justifying a plan to a user requires answering questions about the space of possible plans. Recent work introduced a framework for doing so via plan-property dependencies, where plan properties p are Boolean functions on plans, and p entails q if all plans that satisfy p also satisfy q. We extend th…

Cited by 0SourcePDFScholar