Reinforcement learning for vehicle route optimization in SUMO
Urban traffic control becomes a major topic for urban development lately as the growing number of vehicles in the transportation network. Recent advances in reinforcement learning methodologies have shown highly potential results in solving complex traffic control problem with multi-dimensional stat...
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| Main Authors: | , , , , , |
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| Format: | Default Conference proceeding |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/13007051.v1 |
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