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.
Item Type: | Journal article |
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Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
ISSN: | 1551-6245 |
Language: | English |
Item ID: | 89055 |
Date Deposited: | 25. Jan 2022, 09:28 |
Last Modified: | 25. Jan 2022, 09:28 |