A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI
Kita, Haruka, Koyamada, Sotetsu, Yamaguchi, Yotaro, Ishii, Shin
Published in 2024 IEEE Conference on Games (CoG) (05.08.2024)
Published in 2024 IEEE Conference on Games (CoG) (05.08.2024)
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Conference Proceeding
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
Koyamada, Sotetsu, Okano, Shinri, Nishimori, Soichiro, Murata, Yu, Habara, Keigo, Kita, Haruka, Ishii, Shin
Year of Publication 28.03.2023
Year of Publication 28.03.2023
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Journal Article
Mjx: A framework for Mahjong AI research
Koyamada, Sotetsu, Habara, Keigo, Goto, Nao, Okano, Shinri, Nishimori, Soichiro, Ishii, Shin
Published in 2022 IEEE Conference on Games (CoG) (21.08.2022)
Published in 2022 IEEE Conference on Games (CoG) (21.08.2022)
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Conference Proceeding
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Li, Junjie, Koyamada, Sotetsu, Ye, Qiwei, Liu, Guoqing, Wang, Chao, Yang, Ruihan, Zhao, Li, Qin, Tao, Liu, Tie-Yan, Hon, Hsiao-Wuen
Year of Publication 30.03.2020
Year of Publication 30.03.2020
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Journal Article
Neural Sequence Model Training via $\alpha$-divergence Minimization
Koyamada, Sotetsu, Kikuchi, Yuta, Kanemura, Atsunori, Maeda, Shin-ichi, Ishii, Shin
Year of Publication 30.06.2017
Year of Publication 30.06.2017
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Journal Article
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
Koyamada, Sotetsu, Shikauchi, Yumi, Nakae, Ken, Koyama, Masanori, Ishii, Shin
Year of Publication 31.01.2015
Year of Publication 31.01.2015
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Journal Article
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Li, Junjie, Koyamada, Sotetsu, Ye, Qiwei, Liu, Guoqing, Wang, Chao, Yang, Ruihan, Zhao, Li, Qin, Tao, Tie-Yan, Liu, Hsiao-Wuen Hon
Published in arXiv.org (01.04.2020)
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Published in arXiv.org (01.04.2020)
Paper
Neural Sequence Model Training via \(\alpha\)-divergence Minimization
Koyamada, Sotetsu, Kikuchi, Yuta, Kanemura, Atsunori, Maeda, Shin-ichi, Ishii, Shin
Published in arXiv.org (30.06.2017)
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Published in arXiv.org (30.06.2017)
Paper
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
Koyamada, Sotetsu, Shikauchi, Yumi, Nakae, Ken, Koyama, Masanori, Ishii, Shin
Published in arXiv.org (31.01.2015)
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Published in arXiv.org (31.01.2015)
Paper