Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation. - Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov (CoRR, 2023)

A Benchmark Environment for Offline Reinforcement Learning in Racing Games. - Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov (CoG, 2024)

SPEQ: Stabilization Phases for Efficient Q-Learning in High Update-To-Data Ratio Reinforcement Learning. - Carlo Romeo; Girolamo Macaluso; Alessandro Sestini; Andrew D. Bagdanov (CoRR, 2025)