Rchr
J-GLOBAL ID：202201011271953677
Update date: Feb. 01, 2024
Miyashita Megumi
Miyashita Megumi
Affiliation and department：
Research theme for competitive and other funds (2)：
- 2019 - 2024 Systems modelling of hyper-adaptation mechanism for reconstruction of neural structure
- 2020 - 2022 Reinforcement learning algorithm applied a concept "cautiousness" to avoid fatal failures
Papers (7)：
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Naoya Yamamoto, Takato Matsumoto, Tamami Sudo, Megumi Miyashita, Toshiyuki Kondo. Quantitative measurement of finger usage in stroke hemiplegia using ring-shaped wearable devices. Journal of neuroengineering and rehabilitation. 2023. 20. 1. 73-73
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Naoya Yamamoto, Takato Matsumoto, Tamami Sudo, Megumi Miyashita, Toshiyuki Kondo. Ring-shaped wearable device for logging finger usage in daily life. 2022 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2022. 2022
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Megumi Miyashita, Toshiyuki Kondo, Shiro Yano. Reinforcement learning with constraint based on mirror descent algorithm. Results in Control and Optimization. 2021. 4
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Yuuki Murata, Megumi Miyashita, Shiro Yano, Toshiyuki Kondo. On the residual of mirror descent search and scalability via dimensionality reduction. Proceeding of 2018 7th ICT International Student Project Conference, ICT-ISPC 2018. 2018
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Megumi Miyashita, Shiro Yano, Toshiyuki Kondo. Mirror descent search and its acceleration. Robotics and Autonomous Systems. 2018. 106. 107-116
ｍore...
MISC (1)：
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吉田理絵, 須藤珠水, 宮下恵, 近藤敏之. ハプティックデバイスを用いた協調ゲーム課題中の脳活動ハイパースキャニング. 日本ロボット学会学術講演会予稿集(CD-ROM). 2022. 40th
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