首页|Reports Summarize Robotics and Automation Study Results from@@Beihang University (Safe and Efficient Multi-agent Collision Avoidance@@With Physics-informed Reinfo rcement Learning)
Reports Summarize Robotics and Automation Study Results from@@Beihang University (Safe and Efficient Multi-agent Collision Avoidance@@With Physics-informed Reinfo rcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news originating from Beijing, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Reinforcem ent learning (RL) has shown great promise in addressing multi-agent collision av oidancechallenges. However, existing RL-based methods often suffer from low tra ining efficiency and poor actionsafety.”
BeijingPeople’s Republic of ChinaAsi aRobotics and AutomationRoboticsEmerging TechnologiesMachine LearningR einforcement LearningBeihang University