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ORCIDVittorio Giammarino
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Journal Articles
- 2024
[j3]Vittorio Giammarino
, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis:
Combining imitation and deep reinforcement learning to human-level performance on a virtual foraging task. Adapt. Behav. 32(3): 251-263 (2024)- [j2]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. 2024 (2024) - 2021
- [j1]Vittorio Giammarino, Simone Baldi, Paolo Frasca, Maria Laura Delle Monache:
Traffic Flow on a Ring With a Single Autonomous Vehicle: An Interconnected Stability Perspective. IEEE Trans. Intell. Transp. Syst. 22(8): 4998-5008 (2021)
Conference and Workshop Papers
- 2021
- [c2]Vittorio Giammarino, Ioannis Ch. Paschalidis:
Online Baum-Welch algorithm for Hierarchical Imitation Learning. CDC 2021: 3717-3722 - 2019
- [c1]Vittorio Giammarino, Maolong Lv, Simone Baldi, Paolo Frasca, Maria Laura Delle Monache:
On a weaker notion of ring stability for mixed traffic with human-driven and autonomous vehicles. CDC 2019: 335-340
Informal and Other Publications
- 2024
- [i10]Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CoRR abs/2402.18836 (2024) - [i9]Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino, Christos G. Cassandras, Ioannis Ch. Paschalidis, Wenchao Li:
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems. CoRR abs/2403.17338 (2024) - [i8]Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. CoRR abs/2405.16668 (2024) - [i7]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. CoRR abs/2407.12792 (2024) - 2023
- [i6]Vittorio Giammarino, Alberto Giammarino, Matthew Pearce:
A Reinforcement Learning Approach for Robotic Unloading from Visual Observations. CoRR abs/2309.06621 (2023) - [i5]Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis:
Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR abs/2309.17371 (2023) - 2022
- [i4]Vittorio Giammarino, Matthew F. Dunne, Kylie N. Moore, Michael E. Hasselmo, Chantal E. Stern, Ioannis Ch. Paschalidis:
Learning from humans: combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task. CoRR abs/2203.06250 (2022) - [i3]Vittorio Giammarino:
On the Opportunities and Challenges of using Animals Videos in Reinforcement Learning. CoRR abs/2209.12347 (2022) - [i2]Vittorio Giammarino:
Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario. CoRR abs/2209.12350 (2022) - 2021
- [i1]Vittorio Giammarino, Ioannis Ch. Paschalidis:
Online Baum-Welch algorithm for Hierarchical Imitation Learning. CoRR abs/2103.12197 (2021)
Coauthor Index
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