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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''. [https://dblp.uni-trier.de/db/conf/taai/taai2018.html TAAI 2018]
* [[Yusaku Mandai]], [[Tomoyuki Kaneko]] ('''2018'''). ''Alternative Multitask Training for Evaluation Functions in Game of Go''. [https://dblp.uni-trier.de/db/conf/taai/taai2018.html TAAI 2018]
* [[Hanhua Zhu]], [[Tomoyuki Kaneko]] ('''2018'''). ''Comparison of Loss Functions for Training of Deep Neural Networks in Shogi''. [https://dblp.uni-trier.de/db/conf/taai/taai2018.html TAAI 2018]
* [[Tianhe Wang]], [[Tomoyuki Kaneko]] ('''2018'''). ''Application of Deep Reinforcement Learning in Werewolf Game Agents''. [https://dblp.uni-trier.de/db/conf/taai/taai2018.html TAAI 2018]
* [[Hyunwoo Oh]], [[Tomoyuki Kaneko]] ('''2018'''). ''Deep Recurrent Q-Network with Truncated History''. [https://dblp.uni-trier.de/db/conf/taai/taai2018.html TAAI 2018]
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