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SCEJ 53rd Autumn Meeting (Nagano, 2022)

Program search result : Reinforcement Learning : 3 programs

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Keywords field exact matches “Reinforcement Learning”; 3 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

TimePaper
ID		Title / AuthorsKeywordsTopic codeAck.
number
Day 2
11:00– 11:20		BA207The application example of the reinforcement learning AI for real plant
(ENEOS Materials) (Cor)Sakura Yoshiro, (Cor)Fukami Yuu, *(Cor)Yokoyama Shota, (Yokogawa Electric) Kobuchi Keiichiro, Takami Go
reinforcement learning
AI
FKDPP
SY-65676
Day 3
11:00– 11:20		DC307Reinforcement learning to optimally control the bio and chemical processes
(Kyoto U.) (Int)Oh Tae Hoon
Reinforcement Learning
Process control
Optimal control
ST-2160
Day 3
15:20– 15:40		DC320Growth interface shape optimization and adaptive process control for InGaSb crystal growth under microgravity using machine learning
(Osaka U.) *(Stu)Ghritli Rachid, (JAXA-SOKENDAI) Inatomi Yuko, (Osaka U.) (Reg)Okano Yasunori
Machine Learning
Reinforcement Learning
Crystal Growth
ST-21428

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SCEJ 53rd Autumn Meeting (Nagano, 2022)

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