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CASIA OpenIR
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Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning 会议论文
/, Orlando, FL, USA, 2023-11
作者:  Wang, Yuxiao;  Dai, Xingyuan;  Wang, Kara;  Ali, Hub;  Zhu, Fenghua
Adobe PDF(1410Kb)  |  收藏  |  浏览/下载：14/4  |  提交时间：2024/06/11
Imitation Learning  Trajectory Planning  Deep Reinforcement Learning  Autonomous Driving  
Traffic Signal Control Based on Reinforcement Learning and Fuzzy Neural Network 会议论文
, Macau, China, October 8-12, 2022
作者:  Zhao, Hongxia;  Chen, Songhang;  Zhu, Fenghua;  Tang, Haina
Adobe PDF(565Kb)  |  收藏  |  浏览/下载：19/10  |  提交时间：2024/06/03
Deep Behavioral Cloning for Traffic Control with Virtual Expert Demonstration Under a Parallel Learning Framework 会议论文
, 北京, 2020-12
作者:  Li Xiaoshuang;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(770Kb)  |  收藏  |  浏览/下载：189/79  |  提交时间：2022/06/16
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks 会议论文
, Rhodes, Greece, 2020-9
作者:  Li Xiaoshuang;  Guo Zhongzheng;  Dai Xingyuan;  Lin Yilun;  Jin Junchen;  Zhu Fenghua;  Wang Fei-Yue
Adobe PDF(314Kb)  |  收藏  |  浏览/下载：229/77  |  提交时间：2022/06/16
A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction 会议论文
, Auckland, New Zealand, 2019-10-27
作者:  Zhishuai Li;  Gang Xiong;  Yuanyuan Chen;  Yisheng Lv;  Bin Hu;  Fenghua Zhu;  Fei-Yue Wang
Adobe PDF(305Kb)  |  收藏  |  浏览/下载：317/70  |  提交时间：2020/10/15
Two Intersections Traffic Signal Control Method Based on ADHDP 会议论文
, China, 2016
作者:  Cao Lin;  Hu Bin;  Dong Xisong;  XIONG Gang;  Zhu Fenghua;  Shen Zhen;  Shen Dong;  Liu Yuliang
浏览  |  Adobe PDF(438Kb)  |  收藏  |  浏览/下载：350/121  |  提交时间：2017/12/31
Taxi Detection Based on Vehicle Painting Features for Urban Traffic Scenes 会议论文
Proceedings of IEEE International Conference on Vehicular Electronics and Safety, China, 2013
作者:  Tian B(田滨);  Li B(李泊);  Li Y(李叶);  Xiong G(熊刚);  Zhu FH(朱凤华);  Bin Tian
Adobe PDF(5550Kb)  |  收藏  |  浏览/下载：306/90  |  提交时间：2016/10/23
Vehicle Detection  Taxi Detection  Urban Traffic Surveillance