Vittorio Giammarino

According to our database, Vittorio Giammarino authored at least 20 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact Dynamics.

Vittorio Giammarino, Anastasios Manganaris, Ahmed H. Qureshi

CoRR, May, 2026

Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions.

Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi, Suresh Jagannathan

Trans. Mach. Learn. Res., 2026

2025

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning.

Vittorio Giammarino, Ahmed H. Qureshi

CoRR, December, 2025

Robust Point Cloud Reinforcement Learning via PCA-Based Canonicalization.

Michael Bezick, Vittorio Giammarino, Ahmed H. Qureshi

CoRR, October, 2025

Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos.

Andrea Ramazzina, Vittorio Giammarino, Matteo El Hariry, Mario Bijelic

CoRR, May, 2025

Automaton Constrained Q-Learning.

Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning.

Vittorio Giammarino, Ruiqi Ni, Ahmed H. Qureshi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning.

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Adversarial Imitation Learning from Visual Observations using Latent Information.

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Trans. Mach. Learn. Res., 2024

Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees.

Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

CoRR, 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

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

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations.

Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

A Reinforcement Learning Approach for Robotic Unloading from Visual Observations.

Vittorio Giammarino, Alberto Giammarino, Matthew Pearce

CoRR, 2023

2022

Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario.

Vittorio Giammarino

CoRR, 2022

On the Opportunities and Challenges of using Animals Videos in Reinforcement Learning.

Vittorio Giammarino

CoRR, 2022

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

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

Online Baum-Welch algorithm for Hierarchical Imitation Learning.

Vittorio Giammarino, Ioannis Ch. Paschalidis

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

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

Proceedings of the 58th IEEE Conference on Decision and Control, 2019