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

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:	Engineering Model-based reinforcement learning Uncertainty awareness
在線閱讀:	https://hdl.handle.net/10356/178357
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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