FLTRL: A Fuzzy-Logic Transfer Learning Powered Reinforcement Learning Method for Intelligent Online Control in Power Systems

2021 ◽  
pp. 368-379
Author(s):  
Moein Sabounchi ◽  
Jin Wei-Kocsis
Keyword(s):  
Fuzzy Logic ◽  
Reinforcement Learning ◽  
Power Systems ◽  
Transfer Learning ◽  
Online Control ◽  
Learning Method

Data-Driven Coordinated Control of AVR and PSS in Power Systems: A Deep Reinforcement Learning Method

2021 ◽  
Author(s):  
Arman Oshnoei ◽  
Omid Sadeghian ◽  
Behnam Mohammadi-Ivatloo ◽  
Frede Blaabjerg ◽  
Amjad Anvari-Moghaddam
Keyword(s):  
Reinforcement Learning ◽  
Power Systems ◽  
Coordinated Control ◽  
Data Driven ◽  
Learning Method

Transfer Learning Method based on Spreading Activation Model for Reinforcement Learning

2018 ◽  
Vol 2018 (0) ◽  
pp. 1A1-C14
Author(s):  
Yusaku TAKAKUWA ◽  
Hitoshi KONO ◽  
Wen WEN ◽  
Akiya KAMIMURA ◽  
Kohji TOMITA ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Transfer Learning ◽  
Spreading Activation ◽  
Learning Method ◽  
Activation Model

scholarly journals Biomimetic ultra-broadband perfect absorbers optimised with reinforcement learning

2020 ◽  
Vol 22 (4) ◽  
pp. 2337-2342 ◽  
Author(s):  
Trevon Badloe ◽  
Inki Kim ◽  
Junsuk Rho
Keyword(s):  
Reinforcement Learning ◽  
Transition Metals ◽  
Transfer Learning ◽  
Learning Method ◽  
Q Learning ◽  
Perfect Absorbers

The reinforcement learning method of double deep-Q learning is used to design moth-eye structure-based ultra-broadband perfect absorbers with a variety of transition metals, using transfer learning to share knowledge between different environments.

Transfer Learning Method in Reinforcement Learning-based Traffic Signal Control

2021 ◽  
Author(s):  
Zhenyu Mao ◽  
Jialong Li ◽  
Nianzhao Zheng ◽  
Kenji Tei ◽  
Shinichi Honiden
Keyword(s):  
Reinforcement Learning ◽  
Transfer Learning ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Learning Method

A Plant Control Technology Using Reinforcement Learning Method with Automatic Reward Adjustment

2009 ◽  
Vol 129 (7) ◽  
pp. 1253-1263
Author(s):  
Toru Eguchi ◽  
Takaaki Sekiai ◽  
Akihiro Yamada ◽  
Satoru Shimizu ◽  
Masayuki Fukai
Keyword(s):  
Reinforcement Learning ◽  
Control Technology ◽  
Learning Method ◽  
Plant Control
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