Difference between revisions of "Tomoyuki Kaneko"

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* [[Yusaku Mandai]], [[Tomoyuki Kaneko]] ('''2019'''). ''RankNet for evaluation functions of the game of Go''. [[ICGA Journal#41_2|ICGA Journal, Vol. 41, No. 2]]
 
* [[Yusaku Mandai]], [[Tomoyuki Kaneko]] ('''2019'''). ''RankNet for evaluation functions of the game of Go''. [[ICGA Journal#41_2|ICGA Journal, Vol. 41, No. 2]]
 
* [[Tomoyuki Kaneko]], [[Takenobu Takizawa]] ('''2019'''). ''[https://www.semanticscholar.org/paper/Computer-Shogi-Tournaments-and-Techniques-Kaneko-Takizawa/caa062c0d95f15c85251351b20cdd80a2a0e1b82#paper-header Computer Shogi Tournaments and Techniques]''. [[IEEE#TOG|IEEE Transactions on Games]], Vol. 11
 
* [[Tomoyuki Kaneko]], [[Takenobu Takizawa]] ('''2019'''). ''[https://www.semanticscholar.org/paper/Computer-Shogi-Tournaments-and-Techniques-Kaneko-Takizawa/caa062c0d95f15c85251351b20cdd80a2a0e1b82#paper-header Computer Shogi Tournaments and Techniques]''. [[IEEE#TOG|IEEE Transactions on Games]], Vol. 11
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==2020 ...==
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* [[Cheng Yi]], [[Tomoyuki Kaneko]] ('''2021'''). ''Improving Counterfactual Regret Minimization Agents Training in card game Cheat Using Ordered Abstraction''. [[Advances in Computer Games 17]]
  
 
=External Links=  
 
=External Links=  

Latest revision as of 20:35, 30 November 2021

Home * People * Tomoyuki Kaneko

Tomoyuki Kaneko [1]

Tomoyuki Kaneko,
a Japanese computer scientist, and associate professor at Graduate School of the University of Tokyo. His research interests include machine learning in games, and automated feature construction for evaluation functions of general game players. He is co-author of the open source Shogi program GPS Shogi [2], available under GPL version 2 or later. In April 2013, GPS Shogi, running on a computer cluster of 700 PCs in the University of Tokyo, beat Hiroyuki Miura, one of the Top-10 professional Shogi players [3] [4].

See also

Selected Publications

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