Robotics & Machine Learning Daily News2024,Issue(Nov.18) :2-3.

Capital Normal University Researcher Updates Understanding of Robotics (Mobile r obot navigation based on intrinsic reward mechanism with TD3 algorithm)

首都师范大学研究员更新对机器人的认识(基于内在奖励机制的移动机器人导航与TD3算法)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :2-3.

Capital Normal University Researcher Updates Understanding of Robotics (Mobile r obot navigation based on intrinsic reward mechanism with TD3 algorithm)

首都师范大学研究员更新对机器人的认识(基于内在奖励机制的移动机器人导航与TD3算法)

扫码查看

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关于机器人的新研究结果已经发表。据来自北京的消息,中华人民共和国,sRx新通讯员,研究称,“深度强化学习”在移动机器人导航中,寻找到目标的最优路径的方法已经得到了应用。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New study results on robotics have been published . According to news originating from Beijing,People’s Republic of China, by New sRx correspondents, research stated, “Deep reinforcement learningmethods have b een applied to mobile robot navigation to find the optimal path to the target.”

Key words

Capital Normal University/Beijing/Peop le’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learnin g/Nano-robot/Reinforcement Learning/Robot/Robotics

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