![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
BibTeX record conf/indin/FriesenTJW22
@inproceedings{DBLP:conf/indin/FriesenTJW22, author = {Maxim Friesen and Tian Tan and J{\"{u}}rgen Jasperneite and Jie Wang}, title = {Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - {A} Case Study}, booktitle = {20th {IEEE} International Conference on Industrial Informatics, {INDIN} 2022, Perth, Australia, July 25-28, 2022}, pages = {162--169}, publisher = {{IEEE}}, year = {2022}, url = {https://doi.org/10.1109/INDIN51773.2022.9976109}, doi = {10.1109/INDIN51773.2022.9976109}, timestamp = {Tue, 21 Mar 2023 20:57:38 +0100}, biburl = {https://dblp.org/rec/conf/indin/FriesenTJW22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.