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)

扫码查看
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

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.11)