Measurement of Regional Electric Vehicle Adoption Using Multiagent Deep Reinforcement Learning
This study explores the socioeconomic disparities observed in the early adoption of Electric Vehicles (EVs) in the United States. A multiagent deep reinforcement learning-based policy simulator was developed to address the disparities. The model, tested using data from Austin, Texas, indicates that...
Main Authors: | Seung Jun Choi, Junfeng Jiao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/5/1826 |
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