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AAAI 2018

Different Cycle, Different Assignment: Diversity in Assignment Problems With Multiple Cycles

Short Paper Student Abstract Track Artificial Intelligence

Abstract

We present approaches to handle diverse assignments in multi-cycle assignment problems. The goal is to assign a task to different agents in each cycle, such that all possible combinations are made over time. Our method combines the original profit value, that is to be optimized by the assignment problem with an additional assignment preference. By merging both, we steer the optimization towards diverse assignments without large trade-offs in the original profits.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
125315059454394214
v2026.09.13