| 2023 | IJCAI | DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. | Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko |
| 2023 | IJCNN | Curiosity-driven Exploration for Cooperative Multi-Agent Reinforcement Learning. | Fanchao Xu, Tomoyuki Kaneko |
| 2020 | ICONIP | Playing Catan with Cross-Dimensional Neural Network. | Quentin Gendre, Tomoyuki Kaneko |
| 2018 | ICONIP | Heterogeneous Multi-task Learning of Evaluation Functions for Chess and Shogi. | Shanchuan Wan, Tomoyuki Kaneko |
| 2016 | PRICAI | Learning of Evaluation Functions to Realize Playing Styles in Shogi. | Shotaro Omori, Tomoyuki Kaneko |
| 2013 | SNPD | A System-Design Outline of the Distributed-Shogi-System Akara 2010. | Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, Takeshi Ito |
| 2011 | SoCS | Scalable Distributed Monte-Carlo Tree Search. | Kazuki Yoshizoe, Akihiro Kishimoto, Tomoyuki Kaneko, Haruhiro Yoshimoto, Yutaka Ishikawa |
| 2010 | AAAI | Parallel Depth First Proof Number Search. | Tomoyuki Kaneko |
| 2007 | AAAI | Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability. | Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai |
| 2006 | AAAI | Monte Carlo Go Has a Way to Go. | Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kaneko, Akihiro Kishimoto, Kenjiro Taura |
| 2000 | PRICAI | Compiling Logical Features into Specialized State-Evaluators by Partial Evaluation, Boolean Tables and Incremental Calculation. | Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai |