Combined MPC and reinforcement learning for traffic signal control in urban traffic networks
In general, the performance of model-based controllers cannot be guaranteed under model uncertainties or disturbances, while learning-based controllers require an extensively sufficient training process to perform well. These issues especially hold for large-scale nonlinear systems such as urban tra...
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| Published in: | 2022 26th International Conference on System Theory, Control and Computing (ICSTCC) pp. 432 - 439 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
19.10.2022
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| Subjects: | |
| Online Access: | Get full text |
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