On a weaker notion of ring stability for mixed traffic with human-driven and autonomous vehicles. - Vittorio Giammarino; Maolong Lv; Simone Baldi; Paolo Frasca; Maria Laura Delle Monache (CDC, 2019)

Online Baum-Welch algorithm for Hierarchical Imitation Learning. - Vittorio Giammarino; Ioannis Ch. Paschalidis (CDC, 2021)

Traffic Flow on a Ring With a Single Autonomous Vehicle: An Interconnected Stability Perspective. - Vittorio Giammarino; Simone Baldi; Paolo Frasca; Maria Laura Delle Monache (IEEE Trans. Intell. Transp. Syst., 2021)

Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. - Vittorio Giammarino; Matthew F. Dunne; Kylie N. Moore; Michael E. Hasselmo; Chantal E. Stern; Ioannis Ch. Paschalidis (CoRR, 2022)

On the Opportunities and Challenges of using Animals Videos in Reinforcement Learning. - Vittorio Giammarino (CoRR, 2022)

Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario. - Vittorio Giammarino (CoRR, 2022)

A Reinforcement Learning Approach for Robotic Unloading from Visual Observations. - Vittorio Giammarino; Alberto Giammarino; Matthew Pearce (CoRR, 2023)

A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. - Erhan Can Ozcan; Vittorio Giammarino; James Queeney; Ioannis Ch. Paschalidis (CDC, 2024)

Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems. - Ehsan Sabouni; H. M. Sabbir Ahmad; Vittorio Giammarino; Christos G. Cassandras; Ioannis Ch. Paschalidis; Wenchao Li 001 (CDC, 2024)

Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. - Vittorio Giammarino; Matthew F. Dunne; Kylie N. Moore; Michael E. Hasselmo; Chantal E. Stern; Ioannis Ch. Paschalidis (Adapt. Behav., 2024)

Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. - Yilei Chen; Vittorio Giammarino; James Queeney; Ioannis Ch. Paschalidis (CoRR, 2024)

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. - Vittorio Giammarino; James Queeney; Ioannis Ch. Paschalidis (CoRR, 2024)

Adversarial Imitation Learning from Visual Observations using Latent Information. - Vittorio Giammarino; James Queeney; Ioannis Ch. Paschalidis (Trans. Mach. Learn. Res., 2024)

Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos. - Andrea Ramazzina; Vittorio Giammarino; Matteo El Hariry; Mario Bijelic (CoRR, 2025)