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"TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Me" by Qiang Wu, Mingyuan Li et al.

Traffic signal control (TSC) is still one of the most significant and challenging research problems in the transportation field. Reinforcement learning (RL) has achieved great success in TSC but suffers from critically high learning costs in practical applications due to the excessive trial-and-error learning process. Offline RL is a promising method to reduce learning costs whereas the data distribution shift issue is still up in the air. To this end, in this paper, we formulate TSC as a sequen...
Dynamic Programming Reinforcement Learning Sequence Modeling Traffic Signal Control
Source: uow.edu.au

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