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 * Home * People * Naoki Mizukami**

a Japanese computer scientist affiliated with the Graduate School of Engineering, [|University of Tokyo]. His research interests include Monte-Carlo tree search and UCT considering opponent models, in particular applied to the game of Mahjong, and deep learning.
 * Naoki Mizukami**,

=Selected Publication=
 * Naoki Mizukami, Yoshimasa Tsuruoka (**2015**). //Building a Computer Mahjong Player Based on Monte Carlo Simulation and Opponent Models//. IEEE CIG 2015, [|pdf]
 * Naoki Mizukami, Jun Suzuki, Hirotaka Kameko, Yoshimasa Tsuruoka (**2017**). //Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games//. Advances in Computer Games 15
 * Hirotaka Kameko, Jun Suzuki, Naoki Mizukami, Yoshimasa Tsuruoka (**2017**). //Deep Reinforcement Learning with Hidden Layers on Future States//. Computer Games Workshop at IJCAI 2017, [|pdf]
 * Keigo Kawamura, Naoki Mizukami, Yoshimasa Tsuruoka (**2017**). //Neural Fictitious Self-Play in Imperfect Information Games with Many Players//. Computer Games Workshop at IJCAI 2017, [|pdf]

=External Links=
 * [|水上 直紀 (Naoki Mizukami) - 東京大学]

=References= =What links here?= include page="Naoki Mizukami" component="backlinks" limit="40"
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