Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
A model used for velocity control during car following is proposed based on reinforcement
learning (RL). To optimize driving performance, a reward function is developed by …
learning (RL). To optimize driving performance, a reward function is developed by …
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke - Transportation Research, 2020 - hero.epa.gov
A model used for velocity control during car following is proposed based on reinforcement
learning (RL). To optimize driving performance, a reward function is developed by …
learning (RL). To optimize driving performance, a reward function is developed by …
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
A model used for velocity control during car following was proposed based on deep
reinforcement learning (RL). To fulfil the multi-objectives of car following, a reward function …
reinforcement learning (RL). To fulfil the multi-objectives of car following, a reward function …
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke - arXiv preprint arXiv …, 2019 - arxiv.org
A model used for velocity control during car following was proposed based on deep
reinforcement learning (RL). To fulfil the multi-objectives of car following, a reward function …
reinforcement learning (RL). To fulfil the multi-objectives of car following, a reward function …
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
M Zhu, Y Wang, Z Pu, J Hu… - … Research Part C …, 2020 - research.monash.edu
A model used for velocity control during car following is proposed based on reinforcement
learning (RL). To optimize driving performance, a reward function is developed by …
learning (RL). To optimize driving performance, a reward function is developed by …
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang, R Ke - Transportation Research Part …, 2020 - trid.trb.org
A model used for velocity control during car following is proposed based on reinforcement
learning (RL). To optimize driving performance, a reward function is developed by …
learning (RL). To optimize driving performance, a reward function is developed by …
[PDF][PDF] Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
M Zhu, Y Wang, Z Pu, J Hu, X Wang… - … Research Part C, 2020 - meixinzhu.github.io
ABSTRACT A model used for velocity control during car following is proposed based on
reinforcement learning (RL). To optimize driving performance, a reward function is …
reinforcement learning (RL). To optimize driving performance, a reward function is …