| Hierarchical reinforcement learning framework for stochastic spaceflight campaign design Y Takubo, H Chen, K Ho Journal of Spacecraft and rockets 59 (2), 421-433, 2022 | 13 | 2022 |
| Multidisciplinary design optimization approach to integrated space mission planning and spacecraft design M Isaji, Y Takubo, K Ho Journal of Spacecraft and Rockets 59 (5), 1660-1670, 2022 | 12 | 2022 |
| Automated tour design in the Saturnian system Y Takubo, D Landau, B Anderson Celestial Mechanics and Dynamical Astronomy 136 (1), 1-23, 2024 | 2 | 2024 |
| Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization Y Takubo, M Kanazaki 2022 IEEE Congress on Evolutionary Computation (CEC), 1-9, 2022 | 2 | 2022 |
| The megaregion–forms, functions, and potential? A literature review and proposal for advancing research B Woodall, M Borowitz, K Watkins, M Costa, A Howard, P Kemerait, M Lee, ... International Journal of Urban Sciences 28 (1), 82-104, 2024 | | 2024 |
| Robust Constrained Multi-Objective Guidance of Supersonic Transport Landing Using Evolutionary Algorithm and Polynomial Chaos Y Takubo, M Kanazaki Aerospace 10 (11), 929, 2023 | | 2023 |
| OPTIMIZATION OF EARTH-MOON LOW-THRUST-ENHANCED LOW-ENERGY TRANSFER Y Takubo, Y Shimane, K Ho 2023 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, MT, 2023 | | 2023 |
| Performance Analysis of Hierarchical Reinforcement Learning Framework for Stochastic Space Logistics Y Takubo, H Chen, K Ho ASCEND 2020, 4230, 2020 | | 2020 |
Koki HoGeorgia Institute of TechnologyVerified email at gatech.edu
