24 citations · 44 across the 15 of their papers we have counts for
3 papers · 1 filter
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
Nathaniel Hamilton, Kyle Dunlap, Kerianne L Hobbs
Recent research using Reinforcement Learning (RL) to learn autonomous control for spacecraft operations has shown great success. However, a recent study showed their performance co…
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
Nathaniel Hamilton, Kyle Dunlap, Kerianne L. Hobbs
For many space applications, traditional control methods are often used during operation. However, as the number of space assets continues to grow, autonomous operation can enable…
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
Nathaniel Hamilton, Kyle Dunlap, Taylor T Johnson +1
Reinforcement Learning (RL) has become an increasingly important research area as the success of machine learning algorithms and methods grows. To combat the safety concerns surrou…