Kokolo Ikeda

According to our database, Kokolo Ikeda authored at least 55 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improvement of move naturalness for playing good-quality games with middle-level players.

Chu-Hsuan Hsueh, Kokolo Ikeda

Appl. Intell., 2024

2023

Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games.

Chu-Hsuan Hsueh, Kokolo Ikeda, I-Chen Wu, Jr-Chang Chen, Tsan-sheng Hsu

IEEE Access, 2023

Factor Analyses on Positive and Negative Evaluations of Games against Go Programs.

Kyota Kuboki, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Technologies and Applications of Artificial Intelligence, 2023

Procedural Content Generation of Super Mario Levels Considering Natural Connection.

SangGyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the 20th IEEE International Joint Conference on Computer Science and Software Engineering, 2023

Improving the Human-Likeness of Game AI's Moves by Combining Multiple Prediction Models.

Tatsuyoshi Ogawa, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Can We Infer Move Sequences in Go from Stone Arrangements?

Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 18th International Conference, 2023

2022

Generation of Game Stages With Quality and Diversity by Reinforcement Learning in Turn-Based RPG.

Sang-Gyu Nam, Chu-Hsuan Hsueh, Kokolo Ikeda

IEEE Trans. Games, 2022

Graph Convolutional Networks for Turn-Based Strategy Games.

Wanxiang Li, Houkuan He, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Playing Good-Quality Games with Weak Players by Combining Programs with Different Roles.

Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Position Control and Production of Various Strategies for Game of Go Using Deep Learning Methods.

Yuan Shi, Tianwen Fan, Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda

J. Inf. Sci. Eng., 2021

An Efficient Aircraft Boarding Strategy Considering Implementation.

Kenji Uehara, Kunihiko Hiraishi, Kokolo Ikeda

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Procedural Maze Generation Considering Difficulty from Human Players' Perspectives.

Keita Fujihira, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 17th International Conference, 2021

2020

Analyses of Tabular AlphaZero on NoGo.

Chu-Hsuan Hsueh, Kokolo Ikeda, Sang-Gyu Nam, I-Chen Wu

Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence, 2020

High-performance Algorithms using Deep Learning in Turn-based Strategy Games.

Tomihiro Kimura, Kokolo Ikeda

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Imitating Agents in A Complex Environment by Generative Adversarial Imitation Learning.

Wanxiang Li, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the IEEE Conference on Games, 2020

2019

Puyo Puyo.

Kokolo Ikeda

Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

Position Control and Production of Various Strategies for Deep Learning Go Programs.

Tianwen Fan, Yuan Shi, Wanxiang Li, Kokolo Ikeda

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Procedural Content Generation of Rhythm Games Using Deep Learning Methods.

Yubin Liang, Wanxiang Li, Kokolo Ikeda

Proceedings of the Entertainment Computing and Serious Games, 2019

Generation of Diverse Stages in Turn-Based Role-Playing Game using Reinforcement Learning.

SangGyu Nam, Kokolo Ikeda

Proceedings of the IEEE Conference on Games, 2019

Improving Human Players' T-Spin Skills in Tetris with Procedural Problem Generation.

Taishi Oikawa, Chu-Hsuan Hsueh, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 16th International Conference, 2019

Designing Policy Network with Deep Learning in Turn-Based Strategy Games.

Tomihiro Kimura, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 16th International Conference, 2019

2017

Survey of How Human Players Divert In-game Actions for Other Purposes: Towards Human-Like Computer Players.

Sila Temsiririrkkul, Naoyuki Sato, Kenta Nakagawa, Kokolo Ikeda

Proceedings of the Entertainment Computing - ICEC 2017, 2017

Optimized Non-visual Information for Deep Neural Network in Fighting Game.

Nguyen Duc Tang Tri, Vu Quang, Kokolo Ikeda

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Learning human-like behaviors using neuroevolution with statistical penalties.

Luong Huu Phuc, Kanazawa Naoto, Kokolo Ikeda

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016

Three types of forward pruning techniques to apply the alpha beta algorithm to turn-based strategy games.

Naoyuki Sato, Kokolo Ikeda

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Detection and labeling of bad moves for coaching go.

Kokolo Ikeda, Simon Viennot, Naoyuki Sato

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015

Estimation of player's preference for cooperative RPGs using multi-strategy Monte-Carlo method.

Naoyuki Sato, Kokolo Ikeda, Takayuki Wada

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

A platform for turn-based strategy games, with a comparison of Monte-Carlo algorithms.

Tsubasa Fujiki, Kokolo Ikeda, Simon Viennot

Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Adaptive Fighting Game Computer Player by Switching Multiple Rule-Based Controllers.

Naoyuki Sato, Sila Temsiririrkkul, Shogo Sone, Kokolo Ikeda

Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015

Machine-Learning of Shape Names for the Game of Go.

Kokolo Ikeda, Takanari Shishido, Simon Viennot

Proceedings of the Advances in Computer Games - 14th International Conference, 2015

2014

Fast Optimization of the Pattern Shapes in Board Games with Simulated Annealing.

Huy Nguyen, Simon Viennot, Kokolo Ikeda

Proceedings of the Knowledge and Systems Engineering, 2014

Biased random sequence generation for making common player believe it unbiased.

Sila Temsiririrkkul, Hisamitsu Nomura, Kokolo Ikeda

Proceedings of the 2014 IEEE Games Media Entertainment, 2014

2013

Production of various strategies and position control for Monte-Carlo Go - Entertaining human players.

Kokolo Ikeda, Simon Viennot

Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Further Investigations of 3-Member Simple Majority Voting for Chess.

Kristian Toby Spoerer, Toshihisa Okaneya, Kokolo Ikeda, Hiroyuki Iida

Proceedings of the Computers and Games - 8th International Conference, 2013

Efficiency of Static Knowledge Bias in Monte-Carlo Tree Search.

Kokolo Ikeda, Simon Viennot

Proceedings of the Computers and Games - 8th International Conference, 2013

2012

Extracting Important Patterns for Building State-Action Evaluation Function in Othello.

Huy Nguyen, Kokolo Ikeda, Bac Le

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

Adaptation of game AIs using Genetic Algorithm: Keeping variety and suitable strength.

Kokolo Ikeda, Yu Tanaka, Simon Viennot, Nguyen Huy Quoc, Yohei Ueda

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

Playing PuyoPuyo: Two search algorithms for constructing chain and tactical heuristics.

Kokolo Ikeda, Daisuke Tomizawa, Simon Viennot, Yuu Tanaka

Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011

Accelerated UCT and Its Application to Two-Player Games.

Junichi Hashimoto, Akihiro Kishimoto, Kazuki Yoshizoe, Kokolo Ikeda

Proceedings of the Advances in Computer Games - 13th International Conference, 2011

2010

An Agent-Based Approach to Evaluation of Workflow Support Systems.

Hiroki Saito, Tetsuya Abe, Kokolo Ikeda, Kenji Ohira, Mikihiko Mori, Tetsutaro Uehara, Hajime Kita

Proceedings of the Eighth International Conference on Creating, 2010

2009

Avoidance of constraint violation for experiment-based evolutionary multi-objective optimization.

Hirotaka Kaji, Kokolo Ikeda, Hajime Kita

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Uncertainty of constraint function in Evolutionary Multi-objective Optimization.

Hirotaka Kaji, Kokolo Ikeda, Hajime Kita

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Development of a Multiple User Quiz System on a Shared Display.

Masaki Saga, Kokolo Ikeda, Mikihiko Mori, Tetsutaro Uehara, Hajime Kita, Yohei Naya, Naomi Nagata, Hiroto Ueda, Akio Okumura, Terufumi Ohno

Proceedings of the Seventh International Conference on Creating, 2009

2008

Socialized Computers and Collaborative Learning.

Mikihiko Mori, Kokolo Ikeda, Gaku Hagiwara, Masaki Saga, Tetsutaro Uehara, Hajime Kita

Proceedings of the New Frontiers in Artificial Intelligence, 2008

Acceleration of parametric Multi-objective Optimization by an initialization technique for Multi-Objective Evolutionary Algorithms.

Hirotaka Kaji, Kokolo Ikeda, Hajime Kita

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization.

Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

State evaluation strategy for exemplar-based policy optimization of dynamic decision problems.

Kokolo Ikeda, Hajime Kita

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

On Socialization of Personal Computing.

Gaku Hagiwara, Kokolo Ikeda, Mikihiko Mori, Tetsutaro Uehara, Hajime Kita

Proceedings of the Fifth International Conference on Creating, 2007

2006

Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS.

Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment.

Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Exemplar-based direct policy search with evolutionary optimization.

Kokolo Ikeda

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003

Independent constraint satisfaction and its application to sewerage system control.

Kokolo Ikeda, Akihiro Nagaiwa, Kei Aoki, Shigenobu Kobayashi

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002

Deterministic Multi-step Crossover Fusion: A Handy Crossover Composition for GAs.

Kokolo Ikeda, Shigenobu Kobayashi

Proceedings of the Parallel Problem Solving from Nature, 2002

2001

Failure of Pareto-based MOEAs: does non-dominated really mean near to optimal?

Kokolo Ikeda, Hajime Kita, Shigenobu Kobayashi

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000

GA Based on the UV-Structure Hypothesis and Its Application to JSP.

Kokolo Ikeda, Shigenobu Kobayashi

Proceedings of the Parallel Problem Solving from Nature, 2000