Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching-Reference-Cited by-同舟云学术

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Published:2019-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Information and Knowledge Management
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Author:

Zhou Ming¹,Jin Jiarui¹,Zhang Weinan¹,Qin Zhiwei²,Jiao Yan²,Wang Chenxi²,Wu Guobin³,Yu Yong¹,Ye Jieping²

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. DiDi AI Labs, Beijing, China

3. DiDi Research, Beijing, China

Funder

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357384.3357799

Reference40 articles.

1. Context-aware distributive taxicab dispatching. (March 19 2015);Chadwick Stephen C;US Patent App.,2015

2. Lee Chean Chung. 2005.GPS taxi dispatch system based on A* shortest pathalgorithm. Ph.D. Dissertation. Master's thesis Submitted to the Department of Transportation and Logistics at Malausia University of Science and Technology(MUST) in partial fulfillment of the requirements for the degree of Master of Science in Transportation and Logistics. Lee Chean Chung. 2005.GPS taxi dispatch system based on A* shortest pathalgorithm. Ph.D. Dissertation. Master's thesis Submitted to the Department of Transportation and Logistics at Malausia University of Science and Technology(MUST) in partial fulfillment of the requirements for the degree of Master of Science in Transportation and Logistics.

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