Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand-Reference-Cited by-同舟云学术

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Gammelli Daniele¹,Yang Kaidi²,Harrison James³,Rodrigues Filipe⁴,Pereira Francisco⁴,Pavone Marco²

Affiliation:

1. Technical University of Denmark, Kgs. Lyngby, Denmark

2. Stanford University, Stanford, CA, USA

3. Google Research, Brain Team, San Francisco, CA, USA

4. Technical University of Denmark, Kgs. Lyngby , Denmark

Funder

National Science Foundation

NTT Docomo Inc.

Swiss National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539180

Reference43 articles.

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4. Impacts of Automated Mobility-on-Demand on traffic dynamics, energy and emissions: A case study of Singapore

5. K. Yang , M. Tsao , X. Xu , and M. Pavone . Real-time control of mixed fleets in mobility-on-demand systems . In Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2021 . Extended Version, Available at https://arxiv.org/abs/ 2008 .08131. K. Yang, M. Tsao, X. Xu, and M. Pavone. Real-time control of mixed fleets in mobility-on-demand systems. In Proc. IEEE Int. Conf. on Intelligent Transportation Systems, 2021. Extended Version, Available at https://arxiv.org/abs/2008.08131.

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