Vittorio Giammarino

25 papers A* 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions. CoRR Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi, Suresh Jagannathan
2026	J	`jnl`	Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions. Trans. Mach. Learn. Res. Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi, Suresh Jagannathan
2025	J	`jnl`	Automaton Constrained Q-Learning. CoRR Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi
2025	J	`jnl`	Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos. CoRR Andrea Ramazzina, Vittorio Giammarino, Matteo El Hariry, Mario Bijelic
2025	J	`jnl`	Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning. CoRR Vittorio Giammarino, Ahmed H. Qureshi
2025	J	`jnl`	Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning. CoRR Vittorio Giammarino, Ruiqi Ni, Ahmed H. Qureshi
2025	J	`jnl`	Robust Point Cloud Reinforcement Learning via PCA-Based Canonicalization. CoRR Michael Bezick, Vittorio Giammarino, Ahmed H. Qureshi
2025	A*	`conf`	Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. ICRA Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	—	`conf`	A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CDC Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CoRR Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. Adapt. Behav. Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
2024	J	`jnl`	Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. CoRR Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	—	`conf`	Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems. CDC Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino, Christos G. Cassandras, Ioannis Ch. Paschalidis, Wenchao Li
2024	J	`jnl`	Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems. CoRR Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino, Christos G. Cassandras, Ioannis Ch. Paschalidis, Wenchao Li
2024	J	`jnl`	Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. CoRR Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2023	J	`jnl`	A Reinforcement Learning Approach for Robotic Unloading from Visual Observations. CoRR Vittorio Giammarino, Alberto Giammarino, Matthew Pearce
2023	J	`jnl`	Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2022	J	`jnl`	Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. CoRR Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis
2022	J	`jnl`	On the Opportunities and Challenges of using Animals Videos in Reinforcement Learning. CoRR Vittorio Giammarino
2022	J	`jnl`	Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario. CoRR Vittorio Giammarino
2021	—	`conf`	Online Baum-Welch algorithm for Hierarchical Imitation Learning. CDC Vittorio Giammarino, Ioannis Ch. Paschalidis
2021	J	`jnl`	Online Baum-Welch algorithm for Hierarchical Imitation Learning. CoRR Vittorio Giammarino, Ioannis Ch. Paschalidis
2021	J	`jnl`	Traffic Flow on a Ring With a Single Autonomous Vehicle: An Interconnected Stability Perspective. IEEE Trans. Intell. Transp. Syst. Vittorio Giammarino, Simone Baldi, Paolo Frasca, Maria Laura Delle Monache
2019	—	`conf`	On a weaker notion of ring stability for mixed traffic with human-driven and autonomous vehicles. CDC Vittorio Giammarino, Maolong Lv, Simone Baldi, Paolo Frasca, Maria Laura Delle Monache