Robotics & Machine Learning Daily News2024,Issue(Nov.19) :62-63.

Researchers from Beijing Institute of Technology Discuss Findings in Artificial Intelligence (Smart Energy Management for Hybrid Electric Bus Via Improved Soft Actor-critic Algorithm In a Heuristic Learning Framework)

北京理工大学的研究人员讨论人工智能的发现(在启发式学习框架下,通过改进的软actor-critic算法实现混合动力客车智能能源管理)

Robotics & Machine Learning Daily News2024,Issue(Nov.19) :62-63.

Researchers from Beijing Institute of Technology Discuss Findings in Artificial Intelligence (Smart Energy Management for Hybrid Electric Bus Via Improved Soft Actor-critic Algorithm In a Heuristic Learning Framework)

北京理工大学的研究人员讨论人工智能的发现(在启发式学习框架下,通过改进的软actor-critic算法实现混合动力客车智能能源管理)

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新闻-调查人员发布关于人工智能的新报告。根据来自中华人民共和国北京,NewsRx记者,研究称,"深度强化学习"(DRL)是目前在能源管理领域的前沿人工智能方法混合动力汽车。然而,离线培训效率低下限制了基于drl的节能效果能源管理战略(E MSs)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Artificial In telligence. According to news reporting fromBeijing, People’s Republic of China , by NewsRx journalists, research stated, “Deep reinforcement learning(DRL) is currently the cutting-edge artificial intelligence approach in the field of ener gy management forhybrid electric vehicles. However, inefficient offline trainin g limits the energy-saving efficacy of DRL-basedenergy management strategies (E MSs).”

Key words

Beijing/People’s Republic of China/Asi a/Algorithms/Artificial Intelligence/Emerging Technologies/Machine Learning/Beijing Institute of Technology

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