Vittorio Giammarino

According to our database, Vittorio Giammarino authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

CoRR, 2024

2023

Adversarial Imitation Learning from Visual Observations using Latent Information.

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

CoRR, 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