Robust multiagent reinforcement learning toward coordinated decision-making of automated vehicles

Automated driving is essential for developing and deploying intelligent transportation systems. However, unavoidable sensor noises or perception errors may cause an automated vehicle to adopt suboptimal driving policies or even lead to catastrophic failures. Additionally, the automated driving longi...

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Bibliographic Details
Main Authors: He, Xiangkun, Chen, Hao, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173497
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Institution: Nanyang Technological University
Language: English