Research field (3)：
Soft computing
, Intelligent informatics
, Sensitivity (kansei) informatics
Research keywords (2)：
Evolutionary Computation
, Machine Learning
Research theme for competitive and other funds (2)：
進化型計算による多目的最適化
Multi-objective Optimization using Evolutionary Computation
Papers (32)：
Shinya Matsuta, Naoki Kodama, Taku Harada. Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control. Proceedings of 38th International Conference on Computers and Their Applications. 2023. 56-65
Shogo Shirasaka, Naoki Kodama, Taku Harada. Distributed Traffic Signal Control with Fairness Using Deep Reinforcement Learning. Proceedings of the SICE International Symposium on Control Systems 2023. 2023
Mika Inadomi, Akira Kuzuhara, Shizu Itaka, Aya Ishigaki, Taku Harada, Tomomichi Suzuki. Analysis of the Relationship between Recruitment Evaluations and Personality Impressions Based on Video Interviews. Proceedings of the 20th Asian Network for Quality Congress 2022 Beijing. 2022. 866-874
Naoki Kodama, Taku Harada, Kazuteru Miyazaki. Traffic Signal Control System Using Deep Reinforcement Learning With Emphasis on Reinforcing Successful Experiences. IEEE Access. 2022. 10. 128943-128950
Shinya Matsuta, Naoki Kodama, Taku Harada. Proposal for selecting a cooperation partner in distributed control of traffic signals using deep reinforcement learning. Proceedings of the 8th IIAE International Conference on Intelligent Systems and Image Processing 2021. 2021
Learning Thresholds to Select Cooperative Partners by Applying Deep Reinforcement Learning in Distributed Traffic Signal Control
(38th International Conference on Computers and Their Applications 2023)
Distributed Traffic Signal Control with Fairness Using Deep Reinforcement Learning
(the SICE International Symposium on Control Systems 2023 2023)
Analysis of the Relationship between Recruitment Evaluations and Personality Impressions Based on Video Interviews
(20th Asian Network for Quality Congress 2022 Beijing 2022)
