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A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods

Summary: Introduces DSS, a data-driven spatiotemporal simulator for training and validating RL in taxi dispatch and warehouse scheduling. Distinct in offering extensible scenario plugins, visualization and developer tools to streamline algorithm design on real spatiotemporal traces. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13630
Venue
VLDB
Year
2024
Pagerank
-
Overall Rank
13,159 | 8.46%
DOI
10.14778/3685800.3685849

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