Learning to Drive with Deep Reinforcement Learning
2021 13th International Conference on Knowledge and Smart Technology (KST)(2021)
摘要
Autonomous driving cars are important due to improved safety and fuel efficiency. Various techniques have been described to consider only a single task, for example, recognition, prediction, and planning with supervised learning techniques. Some limitations of previous studies are: (1) human bias from human demonstration; (2) the need for multiple components such as localization, road mapping etc....
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