首页|Investigators at Xidian University Report Findings in Intelligent Vehicles (Mult i-agent Deep Reinforcement Learning for Uavs Navigation In Unknown Complex Envir onment)
Investigators at Xidian University Report Findings in Intelligent Vehicles (Mult i-agent Deep Reinforcement Learning for Uavs Navigation In Unknown Complex Envir onment)
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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 to news reporting originating in Xi ’an, People’s Republic of China, by NewsRx journalists, research stated,“As unm anned aerial vehicles (UAVs) play an increasingly significant role in modern soc iety, usingreinforcement learning to build safe multi-UAV navigation algorithms has become a hot topic. One of themajor issues is coordinating multi-UAV to na vigate safely in complicated and unknown 3D environments.”
Xi’anPeople’s Republic of ChinaAsiaIntelligent VehiclesTransportationEmerging TechnologiesMachine LearningReinforcement LearningXidian University
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