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Found 2 papers, 1 papers with code
An Open-Source Framework for Adaptive Traffic Signal Control
The framework is used to first, investigate the performance variance of the modelled adaptive traffic signal controllers with respect to their hyperparameters and second, analyze the performance differences between controllers with optimal hyperparameters.
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
We propose a new state space, the discrete traffic state encoding, which is information dense.
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