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cs.LG2022★ 2 cited
Reachability Analysis of a General Class of Neural Ordinary Differential Equations
Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton +1
Continuous deep learning models, referred to as Neural Ordinary Differential Equations (Neural ODEs), have received considerable attention over the last several years. Despite thei…
cs.LG2022★ 6 cited
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…