SMART-Env

MCML Authors

Sabrina Friedl

Dr.

* Former Member

→ Group Thomas Seidl
 Database Systems, Data Mining and AI

Felix Borutta

Dr.

* Former Member

→ Group Thomas Seidl
 Database Systems, Data Mining and AI

Matthias Schubert

Prof. Dr.

Core PI

Spatial Artificial Intelligence

Abstract

In this work, we present SMART-Env (Spatial Multi-Agent Resource search Training Environment), a spatio-temporal multi-agent environment for evaluating and training different kinds of agents on resource search tasks. We explain how to simulate arbitrary spawning distributions on real-world street graphs, compare agents’ behavior and evaluate their performance over time. Finally, we demonstrate SMART-Env in a taxi dispatching scenario with three different kinds of agents.

inproceedings FSB+20

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MDM 2020

21st IEEE International Conference on Mobile Data Management. Versailles, France, Jun 30-Jul 03, 2020.

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Authors

S. Friedl • S. Schmoll • F. Borutta • M. Schubert

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Links

DOI

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Research Area

 A3 | Computational Models