3 papers
eess.SY2026
Expressive Power of WSTL Formulas for Learning to Rank
Ruya Karagulle, Gustavo A. Cardona, Necmiye Ozay +1
Weighted Signal Temporal Logic (WSTL) is increasingly used as a scoring function in learning-to-rank problems of trajectories with safety guarantees, where its weighted quantitativ…
cs.RO2025
Safe and Optimal Learning from Preferences via Weighted Temporal Logic with Applications in Robotics and Formula 1
Ruya Karagulle, Cristian-Ioan Vasile, Necmiye Ozay
Autonomous systems increasingly rely on human feedback to align their behavior, expressed as pairwise comparisons, rankings, or demonstrations. While existing methods can adapt beh…
cs.AI2023
A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best +2
This work introduces a preference learning method that ensures adherence to given specifications, with an application to autonomous vehicles. Our approach incorporates the priority…