24 citations · 44 across the 15 of their papers we have counts for
3 papers · 1 filter
A Universal Framework for Generalized Run Time Assurance with JAX Automatic Differentiation
Umberto Ravaioli, Kyle Dunlap, Kerianne Hobbs
With the rise of increasingly complex autonomous systems powered by black box AI models, there is a growing need for Run Time Assurance (RTA) systems that provide online safety fil…
Systems Theoretic Process Analysis of a Run Time Assured Neural Network Control System
Kerianne L. Hobbs, Benjamin K. Heiner, Lillian Busse +4
This research considers the problem of identifying safety constraints and developing Run Time Assurance (RTA) for Deep Reinforcement Learning (RL) Tactical Autopilots that use neur…
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…