Multi-Agent Reinforcement Learning for Intelligent V2G Integration in Future Transportation Systems-Reference-Cited by-同舟云学术

Multi-Agent Reinforcement Learning for Intelligent V2G Integration in Future Transportation Systems

Author:

Dong Jiawei¹^ORCID,Yassine Abdulsalam²^ORCID,Armitage Andy³^ORCID,Hossain M. Shamim⁴^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering (ECE), Lakehead University, Thunder Bay, ON, Canada

2. Department of Software Engineering, Lakehead University, Thunder Bay, ON, Canada

3. Synergy North, Thunder Bay, ON, Canada

4. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

Funder

Distinguished Scientist Fellowship Program

King Saud University, Riyadh, Saudi Arabia

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference28 articles.

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