Automated lane change strategy using proximal policy optimization-based deep reinforcement learning

F Ye, X Cheng, P Wang, CY Chan… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan,
overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane …
被引用次数：117 相关文章

Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

F Ye, X Cheng, P Wang, CY Chan, J Zhang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan,
overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane …

Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

F Ye, X Cheng, P Wang, CY Chan, J Zhang - arXiv preprint arXiv …, 2020 - arxiv.org
Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan,
overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane …
[PDF] researchgate.net

[PDF][PDF] Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning

F Ye, X Cheng, P Wang, CY Chan - researchgate.net
Lane-change maneuvers are commonly executed by drivers to follow a certain routing plan,
overtake a slower vehicle, adapt to a merging lane ahead, etc. However, improper lane …