FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services-Reference-Cited by-同舟云学术

FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Jiang Lin¹^ORCID,Wang Shuai¹^ORCID,Guo Baoshen¹^ORCID,Wang Hai¹^ORCID,Zhang Desheng²^ORCID,Wang Guang³^ORCID

Affiliation:

1. Southeast University, Nanjing, China

2. Rutgers University, New Brunswick, NJ, USA

3. Florida State University, Tallahassee, FL, USA

Funder

Science and Technology Innovation 2030 - Major Project

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599824

Reference33 articles.

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2. XGBoost

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5. Chris Dann , Yishay Mansour , Mehryar Mohri , Ayush Sekhari , and Karthik Sridharan . 2022 . Guarantees for epsilon-greedy reinforcement learning with function approximation . In International Conference on Machine Learning. PMLR, 4666--4689 . Chris Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, and Karthik Sridharan. 2022. Guarantees for epsilon-greedy reinforcement learning with function approximation. In International Conference on Machine Learning. PMLR, 4666--4689.

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