Deep reinforcement learning for traffic signal control loses its ability to learn when trained at high network densities, while free-flow-trained policies and a two-example supervised policy outperform the longest-queue-first benchmark.
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Large-scale traffic signal control using machine learning: some traffic flow considerations
Deep reinforcement learning for traffic signal control loses its ability to learn when trained at high network densities, while free-flow-trained policies and a two-example supervised policy outperform the longest-queue-first benchmark.