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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Bibliographic Details
Main Authors: Wu, Jingda, Huang, Zhiyu, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/178357
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Institution: Nanyang Technological University
Language: English