Difference between revisions of "Kokolo Ikeda"

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* [[Kokolo Ikeda]], [[Simon Viennot]], [[Naoyuki Sato]] ('''2016'''). ''Detection and labeling of bad moves for coaching go''. [https://dblp.uni-trier.de/db/conf/cig/cig2016.html CIG 2016]
 
* [[Kokolo Ikeda]], [[Simon Viennot]], [[Naoyuki Sato]] ('''2016'''). ''Detection and labeling of bad moves for coaching go''. [https://dblp.uni-trier.de/db/conf/cig/cig2016.html CIG 2016]
 
* [[Naoyuki Sato]], [[Kokolo Ikeda]] ('''2016'''). ''[https://ieeexplore.ieee.org/document/7860427 Three types of forward pruning techniques to apply the alpha beta algorithm to turn-based strategy games]''. [https://dblp.uni-trier.de/db/conf/cig/cig2016.html CIG 2016]
 
* [[Naoyuki Sato]], [[Kokolo Ikeda]] ('''2016'''). ''[https://ieeexplore.ieee.org/document/7860427 Three types of forward pruning techniques to apply the alpha beta algorithm to turn-based strategy games]''. [https://dblp.uni-trier.de/db/conf/cig/cig2016.html CIG 2016]
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* [[Taishi Oikawa]], [[Chu-Hsuan Hsueh]], [[Kokolo Ikeda]] ('''2019'''). ''Improving Human Players’ T-Spin Skills in Tetris with Procedural Problem Generation''. [[Advances in Computer Games 16]]
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* [[Tomihiro Kimura]], [[Kokolo Ikeda]] ('''2019'''). ''Designing Policy Network with Deep Learning in Turn-Based Strategy Games''. [[Advances in Computer Games 16]]
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==2020 ...==
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* [[Keita Fujihira]], [[Chu-Hsuan Hsueh]], [[Kokolo Ikeda]] ('''2021'''). ''Procedural Maze Generation with Considering Difficulty from Human Players’ Perspectives''. [[Advances in Computer Games 17]]
  
 
=External Links=  
 
=External Links=  

Latest revision as of 15:43, 1 December 2021

Home * People * Kokolo Ikeda

Kokolo Ikeda [1]

Kokolo Ikeda,
a Japanese computer scientist, games researcher and associate professor at Japan Advanced Institute of Science and Technology. He holds a M.Sc. and Ph.D from Tokyo Institute of Technology in 2000 and 2003 respectively. His research interests include game informatics, Monte-Carlo tree search, evolutionary algorithm, machine learning, and agent-based simulation.

Ikeda Laboratory

Kokolo Ikeda is head of the Ikeda Laboratory at JAIST [2] . Their goal is not only to make strong AI players for various games, but "realistic", "enjoyable" and/or "educational" agents. In addition, genetic algorithm, multi-objective optimization and multi-agent simulation are intensively studied.

Ikeda005.jpg
Ikeda004.jpg
Overview of GA and learning [3]

Nomitan

As computer Go programmer, Kokolo Ikeda is co-author of the Go playing program Nomitan, an UCT based original program using an evaluation function optimized to game records of professional players. Nomitan won three times Bronze at Yokohama 2013, in 9x9, 13x13 and 19x19 Go [4].

Selected Publications

[5]

2000 ...

2010 ...

2015 ...

2020 ...

External Links

References

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