Uncertainty-aware model-based reinforcement learning: methodology and application in autonomous driving

To further improve learning efficiency and performance of reinforcement learning (RL), a novel uncertainty-aware model-based RL method is proposed and validated in autonomous driving scenarios in this paper. First, an action-conditioned ensemble model with the capability of uncertainty assessment is...

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書目詳細資料
Main Authors: Wu, Jingda, Huang, Zhiyu, Lv, Chen
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2024
主題:
在線閱讀:https://hdl.handle.net/10356/178357
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機構: Nanyang Technological University
語言: English