| Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells C Kupwiwat, K Hayashi, M Ohsaki Frontiers in Built Environment 8, 899072, 2022 | 8 | 2022 |
| Multi-objective optimization of truss structure using multi-agent reinforcement learning and graph representation C Kupwiwat, K Hayashi, M Ohsaki Engineering Applications of Artificial Intelligence 129, 107594, 2024 | 6 | 2024 |
| Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells C Kupwiwat, K Hayashi, M Ohsaki Applied Intelligence 53 (17), 19809-19826, 2023 | 6 | 2023 |
| Deep deterministic policy gradient and graph convolutional networks for topology optimization of braced steel frames C KUPWIWAT, Y IWAGOE, K HAYASHI, M OHSAKI 構造工学論文集 B 69, 129-139, 2023 | 4 | 2023 |
| Fundamental study on morphogenesis of shell structure using reinforcement learning C Kupwiwat, 山本憲司 構造工学論文集 67 (B), 211-218, 2021 | 4* | 2021 |
| Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks C Kupwiwat, K Hayashi, M Ohsaki Proceedings of IASS Annual Symposia 2023 (9), 1-11, 2023 | 1 | 2023 |
| Hierarchical graph-based machine learning model for optimization of three-dimensional braced steel frame CHIT KUPWIWAT, K Hayashi, M Ohsaki Available at SSRN 4815849, 2024 | | 2024 |
| Deep Deterministic Policy Gradient and Graph Convolutional Network for Geometry and Topology Optimization of Braced Latticed Shells C Kupwiwat, K Hayashi, M Ohsaki 日本建築学会近畿支部研究報告集. 構造系 62 (69-72), 2022 | | 2022 |
| 強化学習を用いたシェル構造の形態創生に関する基礎的研究 その2：強化学習アルゴリズムの検討 C Kupwiwat, 山本憲司 日本建築学会, 755-756, 2021 | | 2021 |
| マルチエージェント強化学習を用いた構造形態創生に関する基礎的研究 C Kupwiwat, 山本憲司 コロキウム構造形態の解析と創生2020講演論文集, 65-70, 2020 | | 2020 |
| 強化学習を用いたシェル構造の形態創生に関する基礎的研究 C Kupwiwat, 山本憲司 日本建築学会, 933-934, 2020 | | 2020 |
| Pre-Trained Machine Learning for Inverse Structural Design of Piecewise Developable Surface CHIT KUPWIWAT, M Ohsaki Available at SSRN 5027841, 0 | | |
