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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Vydané v:	2022 26th International Conference on System Theory, Control and Computing (ICSTCC) s. 432 - 439
Hlavní autori:	Remmerswaal, Willemijn, Sun, Dingshan, Jamshidnejad, Anahita, De Schutter, Bart
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 19.10.2022
Predmet:	Europe Predictive models Reinforcement learning Scholarships Technological innovation Training Uncertainty
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