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Latest revision as of 10:37, 13 March 2019
Akira Ura,
a Japanese computer scientist and Shogi programmer affiliated with the Graduate School of Engineering, University of Tokyo, and recent co-author of the strong Shogi engine Gekisashi, with interests in game learning, automated tuning and parallel search.
Selected Publications
- 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
- Akira Ura, Daisaku Yokoyama, Takashi Chikayama (2013). Two-level Task Scheduling for Parallel Game Tree Search Based on Necessity. Journal of Information Processing, Vol. 21, No. 1
- 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
