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