| Reinforcement learning for the agile earth-observing satellite scheduling problem A Herrmann, H Schaub IEEE Transactions on Aerospace and Electronic Systems 59 (5), 5235-5247, 2023 | 23 | 2023 |
| Monte Carlo Tree Search Methods for the Earth-Observing Satellite Scheduling Problem AP Herrmann, H Schaub Journal of Aerospace Information Systems 19 (1), 70-82, 2022 | 19 | 2022 |
| Processing–Microstructure–Property Relationships in a Laser‐Deposited Fe‐Co‐V Alloy S Firdosy, N Ury, JP Borgonia, B McEnerney, R Conversano, R Hofer, ... Advanced Engineering Materials 24 (4), 2100931, 2022 | 13 | 2022 |
| Autonomous On-board Planning for Earth-Orbiting Spacecraft A Herrmann, H Schaub 2022 IEEE Aerospace Conference (AERO), 1-9, 2022 | 9 | 2022 |
| Autonomous Spacecraft Tasking Using Monte Carlo Tree Search Methods A Herrmann, H Schaub 31st AAS/AIAA Space Flight Mechanics Meeting, 2021 | 6 | 2021 |
| Single-Agent Reinforcement Learning for Scalable Earth-Observing Satellite Constellation Operations A Herrmann, MA Stephenson, H Schaub Journal of Spacecraft and Rockets 61 (1), 114-132, 2024 | 5 | 2024 |
| Reinforcement learning for multi-satellite agile earth observing scheduling under various communication assumptions A Herrmann, M Stephenson, H Schaub AAS Rocky Mountain GN&C Conference, 2023 | 5 | 2023 |
| A Comparison of Deep Reinforcement Learning Algorithms for Earth-Observing Satellite Scheduling A Herrmann, H Schaub AAS Spaceflight Mechanics Meeting, Austin, TX, 23-116, 2023 | 5 | 2023 |
| Reinforcement Learning for Small Body Science Operations A Herrmann, H Schaub AAS/AIAA Astrodynamics Specialist Conference, 2022 | 5 | 2022 |
| Reinforcement Learning for the Multi-Satellite Earth-Observing Scheduling Problem A Herrmann, JV Carneiro, H Schaub | 3* | |
| A Comparative Analysis of Reinforcement Learning Algorithms for Earth-Observing Satellite Scheduling A Herrmann, H Schaub Frontiers in Space Technologies 4, 1263489, 2023 | 1 | 2023 |
| Trustworthy Reinforcement Learning for Decentralized Control of Satellites V Bajenaru, A Herrmann, H Schaub, J Ramirez, S Phillips | 1 | |
| Autonomous Small Body Science Operations Using Reinforcement Learning A Herrmann, H Schaub Journal of Aerospace Information Systems, 1-20, 2024 | | 2024 |
| Reinforcement Learning for Spacecraft Planning and Scheduling AP Herrmann University of Colorado at Boulder, 2023 | | 2023 |
| Monte Carlo Tree Search for Autonomous Small Body Science Operations A Herrmann, H Schaub | | |
Hanspeter SchaubUniversity of ColoradoVerified email at colorado.edu
