Author

E. Deltl

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Preprint Aug 2026

The Influence of Agent Models on the Complexity of Bus Routing

This work studies the complexity of several variants of bus routing, focusing on how the objective function and the models for agents'walking costs influence the problem complexity, and finds that allowing agent-specific cost models leads to hardness even on extremely limited trees such as stars.

E. Deltl, Christian Komusiewicz, Jurek Rostalsky et al. · 0 citations

#machine learning Preprint Aug 2026

Optimally Selecting Representative Agents from a Metric Space

It is shown that this lower bound is tight and that a clustering in the $2$-Droop core always exists, and that such a clustering can be achieved by only selecting centers from locations in the metric space where an agent resides.

Benjamin Cookson, E. Deltl, Y. Oh · 0 citations