Tomoyuki Kaneko

J-GLOBAL         Last updated: Dec 4, 2018 at 13:13
 
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Name
Tomoyuki Kaneko
URL
http://game.c.u-tokyo.ac.jp/ja/
Affiliation
The University of Tokyo
Section
Graduate School of Arts and Sciences
Job title
Associate Professor
Other affiliation
Interfaculty Initiative in Information Studies

Research Areas

 
 

Academic & Professional Experience

 
2010
 - 
2011
助教, 東京大学 大学院・総合文化研究科
 

Awards & Honors

 
2013
ACM-ICPC Coach Award, ACM ICPC
 
https://icpc.baylor.edu/community/award-coach
May 2012
Champion 2012, Computer Shogi Assotiasion
Winner: Team GPS
 
http://www2.computer-shogi.org/wcsc22/
May 2012
CSA貢献賞, CSA
Winner: Tomoyuki Kaneko and Daigo Moriwaki
 
May 2009
Champion 2009, Computer Shogi Assotiasion
Winner: Team GPS
 
http://www2.computer-shogi.org/wcsc19/

Published Papers

 
Shanchuan Wan,Tomoyuki Kaneko
Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III   347-358   2018   [Refereed]
Shanchuan Wan,Tomoyuki Kaneko
2018 IEEE Conference on Computational Intelligence and Games, CIG 2018, Maastricht, The Netherlands, August 14-17, 2018   1-8   2018   [Refereed]
An Alternative Multitask Training for Evaluation Functions in the Game of Go
Yusaku Mandai and Tomoyuki Kaneko
Proceedings of Technologies and Applications of Artificial Intelligence      2018   [Refereed]
Learning of Evaluation Functions via Self-Play Enhanced by Checkmate Search
Taichi Nakayashiki and Tomoyuki Kaneko
Proceedings of Technologies and Applications of Artificial Intelligence      2018   [Refereed]
Comparison of Loss Functions for Training of Deep Neural Networks in Shogi
Hanhua Zhu and Tomoyuki Kaneko
Proceedings of Technologies and Applications of Artificial Intelligence      2018   [Refereed]
Application of Deep Reinforcement Learning in Werewolf Game Agents
Tianhe Wang and Tomoyuki Kaneko
Proceedings of Technologies and Applications of Artificial Intelligence      2018   [Refereed]
Deep Recurrent Q-Network with Truncated History
Oh Hyunwoo and Tomoyuki Kaneko
Proceedings of Technologies and Applications of Artificial Intelligence      2018   [Refereed]
Pos2Pos: Automatic Position-to-Position Translation in Chess-Like Games.
Shanchuan Wan and Tomoyuki Kaneko
Proceedings of the 23rd Game Programming Workshop   51-54   2018
Takahisa Imagawa and Tomoyuki Kaneko.
Technologies and Applications of Artificial Intelligence, Taiwan, 2017      Dec 2017
Shanchuan Wan and Tomoyuki Kaneko
Technologies and Applications of Artificial Intelligence, Taiwan, 2017   202-207   Dec 2017   [Refereed]

Misc

 
Reinforcement Learning with Effective Exploitation of Experiences on Mini-Games of StarCraft II
ZheJie Hu and Tomoyuki Kaneko
Proceedings of the 23rd Game Programming Workshop   168-174   2018   [Refereed]
Counterfactual Regret Minimization for the Board Game Geister
Chen Chen and Tomoyuki Kaneko
Proceedings of the 23rd Game Programming Workshop   137-144   2018   [Refereed]
Playing the Flappy Bird with Reinforcement Learning Algorithms
Hanhua Zhu and Tomoyuki Kaneko
Proceedings of the 23rd Game Programming Workshop   153-159   2018   [Refereed]
FUJIMURA Yutaro, KANEKO Tomoyuki
Proceedings of the Annual Conference of JSAI   2018(0) 2D402-2D402   2018
<p>Deep Q-Network (DQN) was able to achieve a level comparable to the performance of a professional human player. However, in large and complex domains (e.g. Ms. Pacman), learning can be very slow and unstable. In Hybrid Reward Architecture (HRA),...
Style Transfer in Playing Shogi Based on Generative Adversarial Networks
Shanchuan Wan and Tomoyuki Kaneko
Proceedings of the 22nd Game Programming Workshop   138-143   2017   [Refereed]

Conference Activities & Talks

 
Machine Learning of Evaluation Functions and Playing Styles in Shogi [Invited]
Tomoyuki Kaneko
TCGA   4 Jun 2016   
Recent Improvements in Game Tree Search Techniques and Shogi [Invited]
Tomoyuki Kaneko
NCTU   3 Jun 2016   
Machine Learning of Evaluation Functions and Playing Styles in Shogi [Invited]
Tomoyuki Kaneko
JAIST Symposium on Game & Entertainment Technology & Its Application   10 Feb 2016