2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso +1
Discovering potential failures of an autonomous system is important prior to deployment. Falsification-based methods are often used to assess the safety of such systems, but the co…
Experience Filter: Using Past Experiences on Unseen Tasks or Environments
Anil Yildiz, Esen Yel, Anthony L. Corso +3
One of the bottlenecks of training autonomous vehicle (AV) agents is the variability of training environments. Since learning optimal policies for unseen environments is often very…
Model-based Validation as Probabilistic Inference
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer
Estimating the distribution over failures is a key step in validating autonomous systems. Existing approaches focus on finding failures for a small range of initial conditions or m…