Search Results for author: Johannes Schaum

Found 2 papers, 0 papers with code

Leveraging Planning Landmarks for Hybrid Online Goal Recognition

no code implementations25 Jan 2023 Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Furthermore, we show that the utilized planning landmark based approach, which was so far only evaluated on artificial benchmark domains, achieves also good recognition performance when applied to a real-world cooking scenario.

Intrusion Detection

Investigating the Combination of Planning-Based and Data-Driven Methods for Goal Recognition

no code implementations13 Jan 2023 Nils Wilken, Lea Cohausz, Johannes Schaum, Stefan Lüdtke, Heiner Stuckenschmidt

We empirically show that the proposed extension not only outperforms the purely planning-based- and purely data-driven goal recognition methods but is also able to recognize the correct goal more reliably, especially when only a small number of observations were seen.

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