Robotics & Machine Learning Daily News2024,Issue(Apr.19) :1-1.

Study Data from University of California Berkeley Provide New Insights into Robo tics and Automation (Skill-critic: Refining Learned Skills for Hierarchical Rein forcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.19) :1-1.

Study Data from University of California Berkeley Provide New Insights into Robo tics and Automation (Skill-critic: Refining Learned Skills for Hierarchical Rein forcement Learning)

扫码查看

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 Berkeley, C alifornia, by NewsRx correspondents, research stated, “Hierarchicalreinforcemen t learning (RL) can accelerate long-horizon decision-making by temporally abstra cting apolicy into multiple levels. Promising results in sparse reward environm ents have been seen with skills, i.e.sequences of primitive actions.”

Key words

Berkeley/California/United States/Nor th and Central America/Robotics and Automation/Robotics/Emerging Technologies/Machine Learning/Reinforcement Learning/University of California Berkeley

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文