Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment
Knáb, István Gellért and Pelenczei, Bálint and Kővári, Bálint and Bécsi, Tamás and Palkovics, László (2024) Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment. In: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, Setubal, pp. 15-25. ISBN 9789897587177 10.5220/0012920800003822
| ![[img]](https://eprints.sztaki.hu/style/images/fileicons/text.png) | Text Knab_15_35630298_ny.pdf Download (2MB) | 
      Official URL: https://doi.org/10.5220/0012920800003822
    
  
  
  | Item Type: | Book Section | 
|---|---|
| Uncontrolled Keywords: | Autonomous systems; | 
| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány | 
| Divisions: | Systems and Control Lab | 
| SWORD Depositor: | MTMT Injector | 
| Depositing User: | MTMT Injector | 
| Date Deposited: | 19 Sep 2025 13:16 | 
| Last Modified: | 19 Sep 2025 13:16 | 
| URI: | https://eprints.sztaki.hu/id/eprint/10976 | 
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