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The problems in ridesharing are highly practice-oriented, and results from toy data sets or environments may present a very different picture from those in reality. Hence, real-world data sets and realistic simulators backed up by them are instrumental to research in RL algorithms for these problems.

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  • 发表日期：

    2025年

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  • Zhiwei (Tony) Qin,
  • Xiaocheng Tang,
  • Qingyang Li,
  • Hongtu Zhu,
  • Jieping Ye

摘要

The problems in ridesharing are highly practice-oriented, and results from toy data sets or environments may present a very different picture from those in reality. Hence, real-world data sets and realistic simulators backed up by them are instrumental to research in RL algorithms for these problems.