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20182023
most citedHybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections

151 citations · 159 across the 7 of their papers we have counts for

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Showing 2020Show all

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cs.CV2020★ 2 cited

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning

Zhensong Wei, Yu Jiang, Xishun Liao +5

This paper presented a deep reinforcement learning method named Double Deep Q-networks to design an end-to-end vision-based adaptive cruise control (ACC) system. A simulation envir…