Parallel genetic algorithms: a useful survey T Harada, E Alba ACM Computing Surveys (CSUR) 53 (4), 1-39, 2020 | 147 | 2020 |
Monte-carlo tree search for implementation of dynamic difficulty adjustment fighting game ais having believable behaviors M Ishihara, S Ito, R Ishii, T Harada, R Thawonmas 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 51 | 2018 |
Application of Monte-Carlo tree search in a fighting game AI S Yoshida, M Ishihara, T Miyazaki, Y Nakagawa, T Harada, ... 2016 IEEE 5th Global Conference on Consumer Electronics, 1-2, 2016 | 49 | 2016 |
Applying and improving Monte-Carlo Tree Search in a fighting game AI M Ishihara, T Miyazaki, CY Chu, T Harada, R Thawonmas Proceedings of the 13th international conference on advances in computer …, 2016 | 32 | 2016 |
Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model. T Harada, F Uwano, T Komine, Y Tajima, T Kawashima, M Morishima, ... AAAI Spring Symposia, 2016 | 28 | 2016 |
Monte-carlo tree search implementation of fighting game ais having personas R Ishii, S Ito, M Ishihara, T Harada, R Thawonmas 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 27 | 2018 |
Applying hybrid reward architecture to a fighting game AI Y Takano, W Ouyang, S Ito, T Harada, R Thawonmas 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-4, 2018 | 21 | 2018 |
Procedural generation of angry birds levels with adjustable difficulty M Kaidan, T Harada, CY Chu, R Thawonmas 2016 IEEE Congress on Evolutionary Computation (CEC), 1311-1316, 2016 | 19 | 2016 |
Procedural generation of angry birds fun levels using pattern-struct and preset-model Y Jiang, T Harada, R Thawonmas 2017 IEEE Conference on Computational Intelligence and Games (CIG), 154-161, 2017 | 18 | 2017 |
AI for Game Spectators: Rise of PPG. R Thawonmas, T Harada AAAI Workshops, 2017 | 18 | 2017 |
Performance comparison of parallel asynchronous multi-objective evolutionary algorithm with different asynchrony T Harada, K Takadama 2017 IEEE Congress on Evolutionary Computation (CEC), 1215-1222, 2017 | 16 | 2017 |
Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies T Harada, K Takadama Soft Computing 24, 2917-2939, 2020 | 15 | 2020 |
A fighting game AI using highlight cues for generation of entertaining gameplay R Ishii, S Ito, R Thawonmas, T Harada 2019 IEEE Conference on Games (CoG), 1-6, 2019 | 15 | 2019 |
Asynchronous evaluation based genetic programming: Comparison of asynchronous and synchronous evaluation and its analysis T Harada, K Takadama European Conference on Genetic Programming, 241-252, 2013 | 15 | 2013 |
Smile with Angry Birds: Two Smile-Interface Implementations C Yang, Y Jiang, P Paliyawan, T Harada, R Thawonmas 2018 Nicograph International (NicoInt), 80-80, 2018 | 13 | 2018 |
Procedural generation of angry birds levels that adapt to the player's skills using genetic algorithm M Kaidan, CY Chu, T Harada, R Thawonmas 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), 535-536, 2015 | 13 | 2015 |
Evolving complex programs in tierra-based on-board computer on UNITEC-1 T Harada, M Otani, H Matsushima, K Hattori, K Takadama 2010 61st World Congress on International Astronautical Congress (IAC), 2010 | 12 | 2010 |
Behavior analysis of emergent rule discovery for cooperative automated driving using deep reinforcement learning T Harada, J Matsuoka, K Hattori Artificial Life and Robotics 28 (1), 31-42, 2023 | 11 | 2023 |
Combining pathfmding algorithm with Knowledge-based Monte-Carlo tree search in general video game playing CY Chu, H Hashizume, Z Guo, T Harada, R Thawonmas 2015 IEEE Conference on Computational Intelligence and Games (CIG), 523-529, 2015 | 11 | 2015 |
Recommendation system for sightseeing plan using pattern mining to evaluate time series action T Fujitsuka, T Harada, H Sato, K Takadama Proceedings of the Annual Conference on Society of Instrument and Control …, 2014 | 11 | 2014 |