CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.
Huichu Zhang|Siyuan Feng|Chang Liu|Yaoyao Ding|Yichen Zhu|Zihan Zhou|Weinan Zhang|Yong Yu|Haiming Jin|Zhenhui Li
| Anthology ID: | DBLP:conf/www/ZhangFLDZZ00JL19 |
|---|---|
| Volume: | The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019 |
| Year: | 2019 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3620-3624 |
| URL: | https://doi.org/10.1145/3308558.3314139 |
| DOI: | https://doi.org/10.1145/3308558.3314139 |
| DBLP: | conf/www/ZhangFLDZZ00JL19 |
| BibTeX: |
@inproceedings{zhang-2019-cityflow,
author = {Huichu Zhang and
Siyuan Feng and
Chang Liu and
Yaoyao Ding and
Yichen Zhu and
Zihan Zhou and
Weinan Zhang and
Yong Yu and
Haiming Jin and
Zhenhui Li},
editor = {Ling Liu and
Ryen W. White and
Amin Mantrach and
Fabrizio Silvestri and
Julian J. McAuley and
Ricardo Baeza-Yates and
Leila Zia},
title = {{CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario}},
booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}},
pages = {3620--3624},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3308558.3314139},
doi = {https://doi.org/10.1145/3308558.3314139}
}