MACALUSO, GIROLAMO
MACALUSO, GIROLAMO
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Risultati 1 - 4 di 4 (tempo di esecuzione: 0.004 secondi).
A Benchmark Environment for Offline Reinforcement Learning in Racing Games
2024 Macaluso, Girolamo; Sestini, Alessandro; Bagdanov, Andrew D.
No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts
2026 Girolamo, Macaluso; Lorenzo, Mandelli; Bicchierai, Mirko; Berretti, Stefano; Bagdanov, Andrew D.
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model-Based Augmentation
2024 Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov
SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning
2025 Carlo Romeo*, Girolamo Macaluso*, Alessandro Sestini, Andrew D bagdanov
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Benchmark Environment for Offline Reinforcement Learning in Racing Games | 2024 | Macaluso, Girolamo; Sestini, Alessandro; Bagdanov, Andrew D. | |
| No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts | 2026 | Girolamo, Macaluso; Lorenzo, Mandelli; Bicchierai, Mirko; Berretti, Stefano; Bagdanov, Andrew D. | |
| Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model-Based Augmentation | 2024 | Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov | |
| SPEQ: Offline Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning | 2025 | Carlo Romeo*, Girolamo Macaluso*, Alessandro Sestini, Andrew D bagdanov |