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.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Mathematik, Informatik und Statistik > Informatik |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik |
ISSN: | 1551-6245 |
Sprache: | Englisch |
Dokumenten ID: | 89055 |
Datum der Veröffentlichung auf Open Access LMU: | 25. Jan. 2022, 09:28 |
Letzte Änderungen: | 25. Jan. 2022, 09:28 |