"Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal ..."

Maxim Friesen et al. (2022)

> Home

Details and statistics

DOI: 10.1109/INDIN51773.2022.9976109

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/indin/FriesenTJW22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/indin/FriesenTJW22
Maxim Friesen, Tian Tan, Jürgen Jasperneite, Jie Wang:
Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study. INDIN 2022: 162-169

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.