Investigators at Beihang University Describe Findings in Intelligent Vehicles (C ontinuous Decision-making In Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: a Risk-aware Reinforcement Learning Approach With Task Decomposition)

Robotics & Machine Learning Daily News2024，Issue(Jul.18) ：17-17.

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Investigators at Beihang University Describe Findings in Intelligent Vehicles (C ontinuous Decision-making In Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: a Risk-aware Reinforcement Learning Approach With Task Decomposition)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Transportation - Intelli gent Vehicles have been published. According tonews reporting out of Beijing, P eople’s Republic of China, by NewsRx editors, research stated, “Reinforcementle arning methods have shown the ability to solve challenging scenarios in unmanned systems.However, solving long-time decision-making sequences in a highly compl ex environment, such as continuouslane change and overtaking in dense scenarios , remains challenging.”

Key words

Beijing/People’s Republic of China/Asi a/Intelligent Vehicles/Transportation/Emerging Technologies/Machine Learning/Reinforcement Learning/Beihang University

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出版年

2024

Robotics & Machine Learning Daily News

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