Henri Meess, Jeremias Gerner, Daniel Hein 0001, Stefanie Schmidtner, Gordon Elger. Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation. In Piotr Faliszewski, Viviana Mascardi, Catherine Pelachaud, Matthew E. Taylor, editors, 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022. pages 1699-1701, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022. [doi]
@inproceedings{MeessGHSE22,
title = {Reinforcement Learning for Traffic Signal Control Optimization: A Concept for Real-World Implementation},
author = {Henri Meess and Jeremias Gerner and Daniel Hein 0001 and Stefanie Schmidtner and Gordon Elger},
year = {2022},
url = {https://dl.acm.org/doi/10.5555/3535850.3536081},
researchr = {https://researchr.org/publication/MeessGHSE22},
cites = {0},
citedby = {0},
pages = {1699-1701},
booktitle = {21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022, Auckland, New Zealand, May 9-13, 2022},
editor = {Piotr Faliszewski and Viviana Mascardi and Catherine Pelachaud and Matthew E. Taylor},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)},
isbn = {978-1-4503-9213-6},
}