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cs.LG2021
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems
Alvaro Cabrejas-Egea, Raymond Zhang, Neil Walton
Recently, Intelligent Transportation Systems are leveraging the power of increased sensory coverage and computing power to deliver data-intensive solutions achieving higher levels…
cs.LG2020★ 2 cited
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
Alvaro Cabrejas-Egea, Colm Connaughton
Reinforcement Learning is proving a successful tool that can manage urban intersections with a fraction of the effort required to curate traditional traffic controllers. However, l…