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基于强化学习与安全约束的自动驾驶决策方法 期刊论文
交通运输研究, 2023, 卷号: 9, 期号: 1, 页码: 31-39
Authors:  王宇霄;  刘敬玉;  李忠飞;  朱凤华
Adobe PDF(2613Kb)  |  Favorite  |  View/Download:45/22  |  Submit date:2024/06/11
深度强化学习  自动驾驶  决策  安全约束  
Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning 会议论文
/, Orlando, FL, USA, 2023-11
Authors:  Wang, Yuxiao;  Dai, Xingyuan;  Wang, Kara;  Ali, Hub;  Zhu, Fenghua
Adobe PDF(1410Kb)  |  Favorite  |  View/Download:45/11  |  Submit date:2024/06/11
Imitation Learning  Trajectory Planning  Deep Reinforcement Learning  Autonomous Driving  
融合专家知识与强化学习的自动驾驶策略研究 学位论文
, 2024
Authors:  王宇霄
Adobe PDF(2599Kb)  |  Favorite  |  View/Download:43/1  |  Submit date:2024/05/28
自动驾驶,深度模仿学习,深度强化学习,图神经网络  
Safety-Balanced Driving-Style Aware Trajectory Planning in Intersection Scenarios With Uncertain Environment 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2888-2898
Authors:  Wang, Xiao;  Tang, Ke;  Dai, Xingyuan;  Xu, Jintao;  Xi, Jinhao;  Ai, Rui;  Wang, Yuxiao;  Gu, Weihao;  Sun, Changyin
Favorite  |  View/Download:125/0  |  Submit date:2023/11/17
Trajectory  Planning  Trajectory planning  Safety  Predictive models  Training  Data models  Autonomous vehicles  trajectory planning  social interactions  uncertain circumstances