Multi-agent reinforcement learning for traffic congestion on one-way multi-lane highways
ABSTRACTIn the last decade, agent-based modelling and simulation has emerged as a potential approach to study complex systems in the real world, such as traffic congestion. Complex systems could be modelled as a collection of autonomous agents, who observe the external environment, interact with eac...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2023-07-01
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| Schriftenreihe: | Journal of Information and Telecommunication |
| Schlagworte: | |
| Online-Zugang: | https://www.tandfonline.com/doi/10.1080/24751839.2023.2182174 |
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