Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach

Author:

Luo Man¹^ORCID,Du Bowen²^ORCID,Zhang Wenzhe²,Song Tianyou²,Li Kun²,Zhu Hongming³,Birkin Mark⁴,Wen Hongkai²^ORCID

Affiliation:

1. Department of Computer Science, University of Exeter, Exeter, U.K

2. Department of Computer Science, University of Warwick, Coventry, U.K

3. School of Software Engineering, Tongji University, Shanghai, China

4. School of Geography, University of Leeds, Leeds, U.K

Funder

The Alan Turing Institute through Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference39 articles.

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5. Multiagent learning: Foundations and recent trends;albrecht;Proc Tutorial IJCAI Conf,2017

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