A deep transfer‐learning‐based dynamic reinforcement learning for intelligent tightening system-Reference-Cited by-同舟云学术

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A deep transfer‐learning‐based dynamic reinforcement learning for intelligent tightening system

Published:2020-12-30 Issue:3 Volume:36 Page:1345-1365
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Luo Wentao¹^ORCID,Zhang Jianfu¹²^ORCID,Feng Pingfa¹²³^ORCID,Yu Dingwen¹^ORCID,Wu Zhijun¹^ORCID

Affiliation:

1. Beijing Key Lab of Precision/Ultra‐precision Manufacturing Equipments and Control Tsinghua University Beijing China

2. Department of Mechanical Engineering, State Key Laboratory of Tribology Tsinghua University Beijing China

3. Division of Advanced Manufacturing, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China

Funder

National Defense Basic Scientific Research Program of China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22345

Reference28 articles.

1. Neural inverse reinforcement learning in autonomous navigation

2. Current Researches and Future Development Trend of Intelligent Robot: A Review

3. WangH MaC ZhouL. A brief review of machine learning and its application. In: 2009 International Conference on Information Engineering and Computer Science. Wuhan China;2009.10.1109/ICIECS.2009.5362936

4. Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

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