Pseudo Random Number Generation: a Reinforcement Learning approach. - Luca Pasqualini; Maurizio Parton (ANT/EDI40, 2020)

SAILenv: Learning in Virtual Visual Environments Made Simple. - Enrico Meloni; Luca Pasqualini; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICPR, 2020)

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. - Luca Pasqualini; Maurizio Parton (Algorithms, 2020)

Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic. - Fabio Saggese; Luca Pasqualini; Marco Moretti; Andrea Abrardo (GLOBECOM, 2021)

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. - Enrico Meloni; Matteo Tiezzi; Luca Pasqualini; Marco Gori; Stefano Melacci (ICMLA, 2021)

Generate and Revise: Reinforcement Learning in Neural Poetry. - Andrea Zugarini; Luca Pasqualini; Stefano Melacci; Marco Maggini (IJCNN, 2021)

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? - Luca Pasqualini; Maurizio Parton; Francesco Morandin; Gianluca Amato; Rosa Gini; Carlo Metta; Marco Fantozzi; Alessandro Marchetti (ICMLA, 2022)

Leela Zero Score: a Study of a Score-based AlphaGo Zero. - Luca Pasqualini; Maurizio Parton; Francesco Morandin; Gianluca Amato; Rosa Gini; Carlo Metta (CoRR, 2022)