Yoshimasa Tsuruoka

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Yoshimasa Tsuruoka, a Japanese computer scientist, Shogi programmer and Associate Professor at University of Tokyo and before at School of Information Science, Japan Advanced Institute of Science and Technology (JAIST). His research topics include natural language processing, text mining from biomedical literature, artificial intelligence in games, and deep learning. Yoshimasa Tsuruoka is co-author of the Shogi engine Gekisashi, Gold medal winner of the 15th Computer Olympiad, Shogi in Kanazawa.

=Selected Publications=

2000 ...

 * Yoshimasa Tsuruoka, Daisaku Yokoyama, Takashi Chikayama (2002). Game-Tree Search Algorithm based on Realization Probability. ICGA Journal, Vol. 25, No. 3
 * Daisaku Yokoyama, Yoshimasa Tsuruoka, Takashi Maruyama, Takashi Chikayama (2002). Implementation of "Gekisashi". A Computer Shogi Player. Joho Shori Gakkai Natsu no Puroguramingu, Shinpojiumu Hokokushu (Japanese)

2005 ...

 * Nobuo Araki, Kazuhiro Yoshida, Yoshimasa Tsuruoka, Jun'ichi Tsujii (2007). Move Prediction in Go with the Maximum Entropy Method. CIG 2007, pdf
 * Yoshimasa Tsuruoka (2008). Recent Advances in Computer Shogi and Gekisashi. IPSJ Magazine, Vol. 49, No 8 (Japanese)

2010 ...

 * Yoshimasa Tsuruoka (2010). Gekisashi wins Shogi Tournament. ICGA Journal, Vol. 33, No. 4 » 15th Computer Olympiad
 * Akira Ura, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama (2013). Comparison Training of Shogi Evaluation Functions with Self-Generated Training Positions and Moves. CG 2013, slides as pdf

2015 ...

 * Yun-Ching Liu, Yoshimasa Tsuruoka (2015). Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search. Advances in Computer Games 14
 * Akira Ura, Yoshimasa Tsuruoka, Takashi Chikayama (2015). Dynamic Prediction of Minimal Trees in Large-Scale Parallel Game Tree Search. Journal of Information Processing, Vol. 23, No. 1
 * 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=
 * Yoshimasa Tsuruoka - University of Tokyo
 * Yoshimasa Tsuruoka's ICGA Tournaments
 * A simple C++ library for maximum entropy classification

=References=

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