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Deep Deterministic Policy Gradient for Urban Traffic Light Control
[article]
2017
arXiv
pre-print
Traffic light timing optimization is still an active line of research despite the wealth of scientific literature on the topic, and the problem remains unsolved for any non-toy scenario. One of the key issues with traffic light optimization is the large scale of the input information that is available for the controlling agent, namely all the traffic data that is continually sampled by the traffic detectors that cover the urban network. This issue has in the past forced researchers to focus on
arXiv:1703.09035v2
fatcat:ivjtwotq4zgzpffiem5urqlw3i