首页|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)
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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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.”
BeijingPeople’s Republic of ChinaAsi aIntelligent VehiclesTransportationEmerging TechnologiesMachine LearningReinforcement LearningBeihang University
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