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} }