Ludwig Dierks — accepted AI-conference papers

2024

Scalable Mechanism Design for Multi-Agent Path Finding

Paul Friedrich, Yulun Zhang, Michael Curry, Ludwig Dierks, Stephen McAleer, Jiaoyang Li +2

IJCAI 2024poster

Multi-Agent Path Finding (MAPF) involves determining paths for multiple agents to travel simultaneously and collision-free through a shared area toward given goal locations. This problem is computationally complex, especially when dealing with large numbers of agents, as is common in realistic appli…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2020

The Competitive Effects of Variance-based Pricing

Ludwig Dierks, Sven Seuken

IJCAI 2020poster

In many markets, like electricity or cloud computing markets, providers incur large costs for keeping sufficient capacity in reserve to accommodate demand fluctuations of a mostly fixed user base. These costs are significantly affected by the unpredictability of the users' demand. Nevertheless, stan…

Cited by 0 Source ↗PDF ↗Scholar ↗