Deep Reinforcement Learning for Intelligent Transportation Systems

3 Dec 2018 Xiao-Yang Liu Zihan Ding Sem Borst Anwar Walid

Intelligent Transportation Systems (ITSs) are envisioned to play a critical role in improving traffic flow and reducing congestion, which is a pervasive issue impacting urban areas around the globe. Rapidly advancing vehicular communication and edge cloud computation technologies provide key enablers for smart traffic management... (read more)

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