Metareasoning for Safe Decision Making in Autonomous Systems
Justin Svegliato,Connor Basich,Sandhya Saisubramanian,Shlomo Zilberstein,Justin Svegliato,Connor Basich,Sandhya Saisubramanian,Shlomo Zilberstein
Although experts carefully specify the high-level decision-making models in autonomous systems, it is infeasible to guarantee safety across every scenario during operation. We therefore propose a safety metareasoning system that optimizes the severity of the system's safety concerns and the interference to the system's task: the system executes in parallel a task process that completes a specified...
