Beijing Didi Infinity Technology and Development Co., Ltd.

Jiao Yan

Zhiwei Qin

Hierarchical multi-agent reinforcement learning may be used for joint order dispatching and fleet management for ride-sharing platforms. Information may be obtained. The information may include a status of a ride-sharing platform and a set of messages. The obtained information may be input into a trained hierarchical reinforcement learning (HRL) model. The trained HRL model may include at least one manager module corresponding to a region, and the at least one manager module may include a set of worker modules each corresponding to a division the region. At least one goal of the division in the region may be obtained based on the status of the ride-sharing platform and the set of messages. A vehicle action may be generated for each vehicle in the division in the region based on the status of the ride-sharing platform, the set of messages, and the at least one goal.

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Sunnyvale, CA, United States of America

Jiao Yan