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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2019-03-05
Tokyo RIKEN AIP Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning
Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN) IBISML2018-107
In reinforcement learning,the policy function may not be optimized properly if the observed state space is limited to lo... [more] IBISML2018-107
Akita Akita University A Proposal of the End-to-end Operational Management System for Integrated Management of the Cloud Service
Yusuke Suzuki, Kengo Kawashima, Kazuki Doi, Tomohiro Sato, Tetsuya Yamaguchi, Masahiro Uraga (NTT west) ICM2012-7
Cloud service and virtualization technology has increased rapidly, therefore system configuration has become huge and co... [more] ICM2012-7
US 2010-10-19
Tokyo Nihon Univ. A Basic Study on the Detection of the Internal Peeling Area in the Building Material by High-Intensity Aerial Ultrasonic Waves.
Ayumu Osumi, Kazuki Doi, Youichi Ito (Nihon Univ.) US2010-71
The impact acoustic method and the infrared method are often used to analyze building materials such as mortar and tile.... [more] US2010-71
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