Robotics & Machine Learning Daily News2024,Issue(Jun.14) :50-51.

New Robotics Study Results Reported from Massachusetts Institute of Technology ( Unified Automatic Control of Vehicular Systems With Reinforcement Learning)

麻省理工学院新的机器人研究成果(带有强化学习的车辆系统统一自动控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :50-51.

New Robotics Study Results Reported from Massachusetts Institute of Technology ( Unified Automatic Control of Vehicular Systems With Reinforcement Learning)

麻省理工学院新的机器人研究成果(带有强化学习的车辆系统统一自动控制)

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摘要

根据NewsRx Editor s在马萨诸塞州剑桥的新闻报道,研究人员称,研究人员在Robotics S中详细描述了新的数据。“随着自动化部件比例的增加,新兴的车辆系统为最优控制提供了机会,以减轻凝聚和提高效率。最近有兴趣将深度强化学习(DRL)应用于这些非线性动力系统,以自动设计有效的控制策略。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Cambridge, Massachusetts, by NewsRx editor s, research stated, “Emerging vehicular systems with increasing proportions of a utomated components present opportunities for optimal control to mitigate conges tion and increase efficiency. There has been a recent interest in applying deep reinforcement learning (DRL) to these nonlinear dynamical systems for the automa tic design of effective control strategies.”

Key words

Cambridge/Massachusetts/United States/North and Central America/Emerging Technologies/Machine Learning/Reinforceme nt Learning/Robotics/Robots/Massachusetts Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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