A machine learning approach for personalized autonomous lane change initiation and control. - Charlott Vallon; Ziya Ercan; Ashwin Carvalho; Francesco Borrelli (Intelligent Vehicles Symposium, 2017)

Model-Based Task Transfer Learning. - Charlott Vallon; Francesco Borrelli (CoRR, 2019)

Task Decomposition for Iterative Learning Model Predictive Control. - Charlott Vallon; Francesco Borrelli (ACC, 2020)

Data-Driven Hierarchical Predictive Learning in Unknown Environments. - Charlott Vallon; Francesco Borrelli (CASE, 2020)

Learning to Satisfy Unknown Constraints in Iterative MPC. - Monimoy Bujarbaruah; Charlott Vallon; Francesco Borrelli (CDC, 2020)

Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint. - Monimoy Bujarbaruah; Charlott Vallon (L4DC, 2020)

Task Decomposition for MPC: A Computationally Efficient Approach for Linear Time-Varying Systems. - Charlott Vallon; Francesco Borrelli (CoRR, 2020)

Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments. - Charlott Vallon; Francesco Borrelli (IEEE Trans Autom. Sci. Eng., 2022)

Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints. - Charlott Vallon; Mark Pustilnik; Alessandro Pinto; Francesco Borrelli (CDC, 2024)

Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems. - Charlott Vallon; Alessandro Pinto; Bartolomeo Stellato; Francesco Borrelli (CDC, 2024)

Multi-Objective Learning Model Predictive Control. - Siddharth H. Nair; Charlott Vallon; Francesco Borrelli (CoRR, 2024)

On Sampling Time and Invariance. - Spencer Schutz; Charlott Vallon; Benjamin Recht; Francesco Borrelli (IEEE Control. Syst. Lett., 2025)