Study Results from Shenyang Aerospace University in the Area of Machine Learning Reported (Reinforcement Learning and Particle Swarm Optimization Supporting Real-time Rescue Assignments for Multiple Autonomous Underwater Vehicles)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Shenyang, People’s Republic of China, by NewsRx journalists, research stated, “Rescue assignments strategy are crucial for multiple Autonomous Underwater Vehicle (multi-AUV) systems in three dimensional (3-D) complex underwater environments. Considering the requirements of rescue missions, multi-AUV systems need to be cost-effective, fast-rescuing, and less concerned about the relationship between rescue missions.”