Rika Eto
3 Papers
Rika Eto is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Community-Pharmacy based Trials for Drug Dose Adjustment in which Pharmacists Evaluate Renal Function
Rika Eto,Koichiro Amamoto,Yasuji Ueshima,Kentaro Yamaguchi,Takeshi Doi,Ken Shimosaka,Mie Honma,Ayako Kawamura,Kazuhide Inoue,Akinobu Miyazaki,Mikiro Nakashima,Hitoshi Saikusa,Nobuhiro Masuda,Yoshiaki Kamachi,Hiroyuki Tashiro,Harumi Yamada,Yoko Soh,Kiyomi Hoshiko,Sumio Hirata,Choichiro Miyazaki +19 more
TL;DR: Rika Eto, Koichiro Amamoto, Yasuji Ueshima, Kentaro Yamaguchi, Takeshi Doi, Ken Shimosaka, Mie Honma, Ayako Kawamura, Kazuhide Inoue, Akinobu Miyazaki, Mikiro Nakashima, Hitoshi Saikusa, Nobuhiro Masuda, Yoshiaki Kamachi, Hiroyuki Tashiro and Harumi Yamada.
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A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization
Akira Kitaoka,Rika Eto +1 more
TL;DR: In this article , it was shown that Wasserstein inverse reinforcement learning enables the learner's reward value to imitate the expert's reward values in a finite iteration for multi-objective optimizations.
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A proof of convergence of inverse reinforcement learning for multi-objective optimization
Akira Kitaoka,Rika Eto +1 more
TL;DR: In this article , the convergence of Wasserstein inverse reinforcement learning for multi-objective optimization with the projective subgradient method was shown. But the convergence was not shown for the case of guided cost learning.