In:
20th International Conference on Industrial Informatics, INDIN, IEEE, IEEE
Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study
Jürgen Jasperneite , Tian Tan , Maxim Friesen und Jie Wang,
Literatur Beschaffung:
20th International Conference on Industrial Informatics, INDIN, IEEE, IEEE
Bibtex: Download Bibtex
@inproceedings{2494,
}
author | = | {Jasperneite, Jürgen and Tan, Tian and Friesen, Maxim and Wang, Jie}, |
title | = | {Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study}, |
abstract | = | {}, |
booktitle | = | {20th International Conference on Industrial Informatics, INDIN, IEEE}, |
year | = | {2022}, |
month | = | {Jul}, |
publisher | = | {IEEE}, |
address | = | {Online}, |
editor | = | {}, |
pages | = | {8}, |
organisation | = | {}, |