Tomoyuki Kaneko

56 papers A* 4B 4C 4Journal 15Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Strongly Solving 2048 4x3. CoRR Tomoyuki Kaneko, Shuhei Yamashita
2025	J	`jnl`	The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting. CoRR Masayo Tomita, Katsuhiko Hayashi, Tomoyuki Kaneko
2024	J	`jnl`	Initial state diversification for efficient AlphaZero-style training. ICGA J. Yosuke Demura, Tomoyuki Kaneko
2023	B	`conf`	Curiosity-driven Exploration for Cooperative Multi-Agent Reinforcement Learning. IJCNN Fanchao Xu, Tomoyuki Kaneko
2023	A*	`conf`	DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. IJCAI Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko
2023	J	`jnl`	DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. CoRR Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko
2022	C	`conf`	Learning Strategies for Imperfect Information Board Games Using Depth-Limited Counterfactual Regret Minimization and Belief State. CoG Chen Chen, Tomoyuki Kaneko
2021	C	`conf`	Hierarchical Advantage for Reinforcement Learning in Parameterized Action Space. CoG Zhejie Hu, Tomoyuki Kaneko
2021	—	`conf`	Improving Counterfactual Regret Minimization Agents Training in Card Game Cheat Using Ordered Abstraction. ACG Cheng Yi, Tomoyuki Kaneko
2021	—	`conf`	Local Coordination in Multi-Agent Reinforcement Learning. TAAI Fanchao Xu, Tomoyuki Kaneko
2021	—	`conf`	Maximum Entropy Reinforcement Learning in Two-Player Perfect Information Games. SSCI Taichi Nakayashiki, Tomoyuki Kaneko
2021	J	`jnl`	Residual Network for Deep Reinforcement Learning with Attention Mechanism. J. Inf. Sci. Eng. Hanhua Zhu, Tomoyuki Kaneko
2020	J	`jnl`	Diverse Exploration via InfoMax Options. CoRR Yuji Kanagawa, Tomoyuki Kaneko
2020	—	`conf`	Evaluation of Loss Function for Stable Policy Learning in Dobutsu Shogi. TAAI Taichi Nakayashiki, Tomoyuki Kaneko
2020	—	`conf`	Playing Catan with Cross-Dimensional Neural Network. ICONIP (2) Quentin Gendre, Tomoyuki Kaneko
2020	J	`jnl`	Playing Catan with Cross-dimensional Neural Network. CoRR Quentin Gendre, Tomoyuki Kaneko
2019	—	`conf`	Acquiring Strategies for the Board Game Geister by Regret Minimization. TAAI Chen Chen, Tomoyuki Kaneko
2019	—	`conf`	Application of Deep-RL with Sample-Efficient Method in Mini-games of StarCraft II. TAAI Zhejie Hu, Tomoyuki Kaneko
2019	J	`jnl`	Computer Shogi Tournaments and Techniques. IEEE Trans. Games Tomoyuki Kaneko, Takenobu Takizawa
2019	—	`conf`	Deep Residual Attention Reinforcement Learning. TAAI Hanhua Zhu, Tomoyuki Kaneko
2019	J	`jnl`	RankNet for evaluation functions of the game of Go. ICGA J. Yusaku Mandai, Tomoyuki Kaneko
2019	C	`conf`	Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning. CoG Yuji Kanagawa, Tomoyuki Kaneko
2019	J	`jnl`	Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning. CoRR Yuji Kanagawa, Tomoyuki Kaneko
2018	—	`conf`	Alternative Multitask Training for Evaluation Functions in Game of Go. TAAI Yusaku Mandai, Tomoyuki Kaneko
2018	—	`conf`	Application of Deep Reinforcement Learning in Werewolf Game Agents. TAAI Tianhe Wang, Tomoyuki Kaneko
2018	—	`conf`	Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks. CIG Shanchuan Wan, Tomoyuki Kaneko
2018	—	`conf`	Comparison of Loss Functions for Training of Deep Neural Networks in Shogi. TAAI Hanhua Zhu, Tomoyuki Kaneko
2018	—	`conf`	Deep Recurrent Q-Network with Truncated History. TAAI Hyunwoo Oh, Tomoyuki Kaneko
2018	—	`conf`	Heterogeneous Multi-task Learning of Evaluation Functions for Chess and Shogi. ICONIP (3) Shanchuan Wan, Tomoyuki Kaneko
2018	—	`conf`	Learning of Evaluation Functions via Self-Play Enhanced by Checkmate Search. TAAI Taichi Nakayashiki, Tomoyuki Kaneko
2017	—	`conf`	Estimating the Maximum Expected Value through Upper Confidence Bound of Likelihood. TAAI Takahisa Imagawa, Tomoyuki Kaneko
2017	—	`conf`	Imitation Learning for Playing Shogi Based on Generative Adversarial Networks. TAAI Shanchuan Wan, Tomoyuki Kaneko
2016	—	`conf`	Improved LinUCT and its evaluation on incremental random-feature tree. CIG Yusaku Mandai, Tomoyuki Kaneko
2016	B	`conf`	Learning of Evaluation Functions to Realize Playing Styles in Shogi. PRICAI Shotaro Omori, Tomoyuki Kaneko
2016	J	`jnl`	LinUCB applied to Monte Carlo tree search. Theor. Comput. Sci. Yusaku Mandai, Tomoyuki Kaneko
2016	—	`conf`	Monte Carlo Tree Search with Robust Exploration. Computers and Games Takahisa Imagawa, Tomoyuki Kaneko
2015	—	`conf`	Enhancements in Monte Carlo tree search algorithms for biased game trees. CIG Takahisa Imagawa, Tomoyuki Kaneko
2015	—	`conf`	Estimating Ratings of Computer Players by the Evaluation Scores and Principal Variations in Shogi. ACIT-CSI Shogo Takeuchi, Tomoyuki Kaneko
2015	—	`conf`	LinUCB Applied to Monte-Carlo Tree Search. ACG Yusaku Mandai, Tomoyuki Kaneko
2015	—	`conf`	Parameter-Free Tree Style Pipeline in Asynchronous Parallel Game-Tree Search. ACG Shu Yokoyama, Tomoyuki Kaneko, Tetsuro Tanaka
2014	J	`jnl`	Large-Scale Optimization for Evaluation Functions with Minimax Search. J. Artif. Intell. Res. Kunihito Hoki, Tomoyuki Kaneko
2013	C	`conf`	A System-Design Outline of the Distributed-Shogi-System Akara 2010. SNPD Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, Takeshi Ito
2013	J	`jnl`	Exploring the implicit interlayer regulatory mechanism between cells and tissue: Stochastic mathematical analyses of the spontaneous ordering in beating synchronization. Biosyst. Hiroyuki Hamada, Fumimasa Nomura, Tomoyuki Kaneko, Kenji Yasuda, Masahiro Okamoto
2013	J	`jnl`	Parallel Dovetailing and its Application to Depth-First Proof-Number Search. ICGA J. Kunihito Hoki, Tomoyuki Kaneko, Akihiro Kishimoto, Takeshi Ito
2011	—	`conf`	Analysis of Evaluation-Function Learning by Comparison of Sibling Nodes. ACG Tomoyuki Kaneko, Kunihito Hoki
2011	—	`conf`	Infinite Connect-Four Is Solved: Draw. ACG Yoshiaki Yamaguchi, Kazunori Yamaguchi, Tetsuro Tanaka, Tomoyuki Kaneko
2011	B	`conf`	Scalable Distributed Monte-Carlo Tree Search. SOCS Kazuki Yoshizoe, Akihiro Kishimoto, Tomoyuki Kaneko, Haruhiro Yoshimoto, Yutaka Ishikawa
2011	—	`conf`	The Global Landscape of Objective Functions for the Optimization of Shogi Piece Values with a Game-Tree Search. ACG Kunihito Hoki, Tomoyuki Kaneko
2010	J	`jnl`	Evaluation of Game Tree Search Methods by Game Records. IEEE Trans. Comput. Intell. AI Games Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi
2010	A*	`conf`	Parallel Depth First Proof Number Search. AAAI Tomoyuki Kaneko
2008	—	`conf`	Evaluation of Monte Carlo tree search and the application to Go. CIG Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi
2007	A*	`conf`	Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability. AAAI Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai
2006	—	`conf`	Dual Lambda Search and Shogi Endgames. ACG Shunsuke Soeda, Tomoyuki Kaneko, Tetsuro Tanaka
2006	A*	`conf`	Monte Carlo Go Has a Way to Go. AAAI Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kaneko, Akihiro Kishimoto, Kenjiro Taura
2003	—	`conf`	Automated Identification of Patterns in Evaluation Functions. ACG Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai
2000	B	`conf`	Compiling Logical Features into Specialized State-Evaluators by Partial Evaluation, Boolean Tables and Incremental Calculation. PRICAI Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai