Probabilistic design of optimal sequential decision-making algorithms in learning and control. - Émiland Garrabé; Giovanni Russo 002 (Annu. Rev. Control., 2022)

On the Design of Autonomous Agents From Multiple Data Sources. - Émiland Garrabé; Giovanni Russo 002 (IEEE Control. Syst. Lett., 2022)

On a Probabilistic Approach for Inverse Data-Driven Optimal Control. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (CDC, 2023)

Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (CoRR, 2023)

Optimal Decision-Making for Autonomous Agents via Data Composition. - Émiland Garrabé; Martina Lamberti; Giovanni Russo 002 (IEEE Control. Syst. Lett., 2023)

Enhancing Robustness in Language-Driven Robotics: A Modular Approach to Failure Reduction. - Émiland Garrabé; Pierre Teixeira; Mahdi Khoramshahi; Stéphane Doncieux (CoRR, 2024)

Task-Aware Robotic Grasping by evaluating Quality Diversity Solutions through Foundation Models. - Aurel X. Appius; Émiland Garrabé; François Hélénon; Mahdi Khoramshahi; Stéphane Doncieux (CoRR, 2024)

Neo-FREE: Policy Composition Through Thousand Brains And Free Energy Optimization. - Francesca Rossi 004; Émiland Garrabé; Giovanni Russo 002 (CoRR, 2024)

On convex data-driven inverse optimal control for nonlinear, non-stationary and stochastic systems. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (Autom., 2025)