Robotics & Machine Learning Daily News2024,Issue(Jun.10) :55-55.

Data on Robotics Discussed by Researchers at Tor Vergata University of Rome (Des ign and Development of Multi-Agent Reinforcement Learning Intelligence on the Ro botarium Platform for Embedded System Applications)

罗马Tor Vergata大学研究人员讨论的机器人数据(在Ro Botarium嵌入式系统应用平台上设计和开发多agent强化学习智能)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :55-55.

Data on Robotics Discussed by Researchers at Tor Vergata University of Rome (Des ign and Development of Multi-Agent Reinforcement Learning Intelligence on the Ro botarium Platform for Embedded System Applications)

罗马Tor Vergata大学研究人员讨论的机器人数据(在Ro Botarium嵌入式系统应用平台上设计和开发多agent强化学习智能)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx编辑的来自意大利罗马的新闻,该研究指出,"本研究探索了q学习在机器人应用中的实时群(Q-RTS)多agent强化学习(MARL)算法中的应用"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in robotics. A ccording to news originating from Rome, Italy, by NewsRx editors, the research s tated, “This research explores the use of Q-Learning for real-time swarm (Q-RTS) multi-agent reinforcement learning (MARL) algorithm for robotic applications.”

Key words

Tor Vergata University of Rome/Rome/It aly/Europe/Algorithms/Embedded Systems/Emerging Technologies/Machine Learni ng/Reinforcement Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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