– Kotaro Asano (Hiroshima University)
“Development of Deep Reinforcement Learning Method for Multi-Agent Systems Using Data Sharing Based on Similarity between Agents”,
co-authored with Tomohiro Hayashida, Ichiro Nishizaki, and Shinya Sekizaki
– Ryuya Furukawa (Hiroshima University)
“Simulation Analysis of Path Optimization for Multiple Ball Picker Robots Using Hierarchical Reinforcement Learning”,
co-authored with Tomohiro Hayashida, Ichiro Nishizaki, and Shinya Sekizaki– Soya Miyamoto (Hiroshima City University)
“Model Distillation Using Public Data for Time Series Classification Problem”,
co-authored with Akari Gengyo and Keiichi Tamura– Shouta Abiru (Hiroshima City University)
“Based on Data-Free Model Distillation Decentralized Federated Learning”,
co-authored with Keiichi Tamura
– Ibuki Maeda (Hiroshima University)
“Considerations for Rules for Periodic Dynamic Scheduling Problems Obtained by Evolutionary Computation Methods”, co-authored with Tomohiro Hayashida, Daisuke Hirotani, Ichiro Nishizaki, and Shinya Sekizaki– Hiroto Funabashi (Hiroshima City University)
“Fireworks Algorithms with Bandit Algorithms for Function Optimization”, co-authored with Tetsuyuki Takahama and Akira Hara– Keiji Kurume (Hiroshima City University)
“Image Classification based on Noisy Student with Transfer Learning”, co-authored with Keiichi Tamura
– Akari Gengyo (Hiroshima City University) For significant contribution to the activities of IEEE SMC Hiroshima Chapter as a student committee member of IEEE SMC Hiroshima Chapter Young Researcher Workshop 2021 and 2022.– Jun Teraoka (Hiroshima City University) For significant contribution to the activities of IEEE SMC Hiroshima Chapter as a student committee member of IEEE SMC Hiroshima Chapter Young Researcher Workshop 2021 and 2022.
