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* [[Shogo Takeuchi]], [[Tomoyuki Kaneko]] ('''2015'''). ''[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7336038 Estimating Ratings of Computer Players by the Evaluation Scores and Principal Variations in Shogi]''. [http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7335993 ACIT-CSI]
* [[Takahisa Imagawa]], [[Tomoyuki Kaneko]] ('''2016'''). ''Monte Carlo Tree Search with Robust Exploration''. [[CG 2016]]
* [[Taichi Nakayashiki]], [[Tomoyuki Kaneko]] ('''2018'''). ''Learning of Evaluation Functions via Self-Play Enhanced by Checkmate Search''. [[TAAI 2018]]
* [[Yusaku Mandai]], [[Tomoyuki Kaneko]] ('''2018'''). ''Alternative Multitask Training for Evaluation Functions in Game of Go''. [[TAAI 2018]]
* [[Hanhua Zhu]], [[Tomoyuki Kaneko]] ('''2018'''). ''Comparison of Loss Functions for Training of Deep Neural Networks in Shogi''. [[TAAI 2018]]
* [[Tianhe Wang]], [[Tomoyuki Kaneko]] ('''2018'''). ''Application of Deep Reinforcement Learning in Werewolf Game Agents''. [[TAAI 2018]]
* [[Hyunwoo Oh]], [[Tomoyuki Kaneko]] ('''2018'''). ''Deep Recurrent Q-Network with Truncated History''. [[TAAI 2018]]
* [[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
==2020 ...==
* [[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=
=References=
<references />
'''[[People|Up one level]]'''
[[Category:Researcher|Kaneko]]
[[Category:Shogi Programmer|Kaneko]]
