Robotics & Machine Learning Daily News2024,Issue(Nov.15) :90-91.

New Robotics Study Findings Reported from Northwestern Polytechnic University (R obotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition)

西北理工大学机器人学研究的新发现(基于可控潜空间划分的无监督强化学习的机器人运动技能学习)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :90-91.

New Robotics Study Findings Reported from Northwestern Polytechnic University (R obotic Locomotion Skill Learning Using Unsupervised Reinforcement Learning With Controllable Latent Space Partition)

西北理工大学机器人学研究的新发现(基于可控潜空间划分的无监督强化学习的机器人运动技能学习)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于机器人的新报道。根据来自中华人民共和国西安,由N ewsRx记者撰写,研究称,"在一个无监督方式是智能代理或机器人应具备的能力之一。发现与任务无关的技能可以微调到下游的长期T要求,以提高执行效率。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting fromXi’an, People’s Republic of China, by N ewsRx journalists, research stated, “Effective skill learning in anunsupervised manner is one of the capabilities an intelligent agent or robot should have. Th e discoveredtask-agnostic skills can be fine-tuned to downstream long-horizon t asks to improve execution efficiency.”

Key words

Xi’an/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Ro botics/Robots/Northwestern Polytechnic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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