Robotics & Machine Learning Daily News2024,Issue(Dec.11) :96-96.

Reports Summarize Robotics and Automation Study Results from@@Beihang University (Safe and Efficient Multi-agent Collision Avoidance@@With Physics-informed Reinfo rcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.11) :96-96.

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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Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Robotics and Automation/Robotics/Emerging Technologies/Machine Learning/R einforcement Learning/Beihang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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