Difference between revisions of "Kunihito Hoki"
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* [[Nobuo Araki]], [[Masakazu Muramatsu]], [[Kunihito Hoki]], [[Satoshi Takahashi]] ('''2014'''). ''[https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8263 Monte-Carlo Simulation Adjusting]''. [[Conferences#AAAI-2014|AAAI-2014]] | * [[Nobuo Araki]], [[Masakazu Muramatsu]], [[Kunihito Hoki]], [[Satoshi Takahashi]] ('''2014'''). ''[https://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8263 Monte-Carlo Simulation Adjusting]''. [[Conferences#AAAI-2014|AAAI-2014]] | ||
==2015 ...== | ==2015 ...== | ||
| + | * [https://dblp.uni-trier.de/pers/hd/s/Sukenari:Yuki Yuki Sukenari], [[Kunihito Hoki]], [[Satoshi Takahashi]], [[Masakazu Muramatsu]] ('''2016'''). ''[https://www.semanticscholar.org/paper/Pure-Nash-equilibria-of-competitive-diffusion-on-Sukenari-Hoki/00efebfc07a4237737eaaaa42831b769b63406ca Pure Nash equilibria of competitive diffusion process on toroidal grid graphs]''. [https://en.wikipedia.org/wiki/Discrete_Applied_Mathematics Discrete Applied Mathematics], Vol. 215 | ||
* [[Nobuo Araki]], [[Kunihito Hoki]], [[Satoshi Takahashi]], [[Masakazu Muramatsu]] ('''2017'''). ''[https://content.iospress.com/articles/icga-journal/icg036 Improved simulation adjusting]''. [[ICGA Journal#39_34|ICGA Journal, Vol. 39, Nos. 3-4]] | * [[Nobuo Araki]], [[Kunihito Hoki]], [[Satoshi Takahashi]], [[Masakazu Muramatsu]] ('''2017'''). ''[https://content.iospress.com/articles/icga-journal/icg036 Improved simulation adjusting]''. [[ICGA Journal#39_34|ICGA Journal, Vol. 39, Nos. 3-4]] | ||
Revision as of 21:29, 13 August 2018
Kunihito Hoki [1]
Kunihito Hoki,
a Japanese chemist, computer scientist, and since 2010 Assistant Professor at the University of Electro-Communications. Kunihito Hoti received a D.Sc. in Chemistry from Tohoku University, and has been a research fellow at the University of Toronto as well as Tohoku University, where he then became Assistant Professor. As Shogi programmer, he is author of the strong Shogi program Bonanza, famous for its supervised move adaption tuning method called Minimax Tree Optimization (MMTO), also dubbed the Bonanza-Method. Kunihito Hoki further researched and published on Monte-Carlo Tree Search.
Contents
Selected Publications
2005 ...
- Kunihito Hoki (2006). Optimal control of minimax search result to learn positional evaluation. 11th Game Programming Workshop (Japanese)
2010 ...
- Takuya Obata, Takuya Sugiyama, Kunihito Hoki, Takeshi Ito (2010). Consultation Algorithm for Computer Shogi: Move Decisions by Majority. CG 2010
- Takuya Sugiyama, Takuya Obata, Kunihito Hoki, Takeshi Ito (2010). Optimistic Selection Rule Better Than Majority Voting System. CG 2010
- Tomoyuki Kaneko, Kunihito Hoki (2011). Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes. Advances in Computer Games 13
- Kunihito Hoki, Tomoyuki Kaneko (2011). The Global Landscape of Objective Functions for the Optimization of Shogi Piece Values with a Game-Tree Search. Advances in Computer Games 13
- Kunihito Hoki, Tomoyuki Kaneko, Akihiro Kishimoto, Takeshi Ito (2013). Parallel Dovetailing and its Application to Depth-First Proof-Number Search. ICGA Journal, Vol. 36, No. 1 [3]
- Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, Takeshi Ito (2013). A System-Design Outline of the Distributed-Shogi-System Akara 2010. SNPD 2013
- Kunihito Hoki, Tomoyuki Kaneko (2014). Large-Scale Optimization for Evaluation Functions with Minimax Search. JAIR Vol. 49, pdf » Automated Tuning, Shogi [4]
- Nobuo Araki, Masakazu Muramatsu, Kunihito Hoki, Satoshi Takahashi (2014). Monte-Carlo Simulation Adjusting. AAAI-2014
2015 ...
- Yuki Sukenari, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu (2016). Pure Nash equilibria of competitive diffusion process on toroidal grid graphs. Discrete Applied Mathematics, Vol. 215
- Nobuo Araki, Kunihito Hoki, Satoshi Takahashi, Masakazu Muramatsu (2017). Improved simulation adjusting. ICGA Journal, Vol. 39, Nos. 3-4
