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Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning
Junxiu Liu 
,
Sheng Qin ,
Yuling Luo ,
Yanhu Wang,
Scott Yang
,
Sheng Qin ,
Yuling Luo ,
Yanhu Wang,
Scott Yang
IEEE Transactions on Vehicular Technology, Volume: 71, Issue: 6, Pages: 5960 - 5970
Swansea University Author:
Scott Yang
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/tvt.2022.3160871
Abstract
Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning
| Published in: | IEEE Transactions on Vehicular Technology |
|---|---|
| ISSN: | 0018-9545 1939-9359 |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2022
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa60406 |
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| College: |
Faculty of Science and Engineering |
|---|---|
| Funders: |
This work was supported in part by the National Natural Science Foundation of China under Grant 61976063, and in part by the Guangxi Natural Science Foundation under Grant 2021JJG170015. |
| Issue: |
6 |
| Start Page: |
5960 |
| End Page: |
5970 |