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

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: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Automated Vehicle
Vehicle Dynamics
Online Access:https://hdl.handle.net/10356/173497

Internet

https://hdl.handle.net/10356/173497

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