Prioritized experience-based reinforcement learning with human guidance for autonomous driving

Reinforcement learning (RL) requires skillful definition and remarkable computational efforts to solve optimization and control problems, which could impair its prospect. Introducing human guidance into RL is a promising way to improve learning performance. In this article, a comprehensive human gui...

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Main Authors: Wu, Jingda, Huang, Zhiyu, Huang, Wenhui, Lv, Chen
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/178359
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