Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation
IEEE Transactions on Neural Networks and Learning Systems(2021)
摘要
Existing deep reinforcement learning (RL) are devoted to research applications on video games, e.g., The Open Racing Car Simulator (TORCS) and Atari games. However, it remains under-explored for vision-based autonomous urban driving navigation (VB-AUDN). VB-AUDN requires a sophisticated agent working safely in structured, changing, and unpredictable environments; otherwise, inappropriate operation...
更多查看译文
关键词
Task analysis,Trajectory,Computational modeling,Navigation,Automobiles,Reinforcement learning,Predictive models
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要