Luca Pasqualini

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 14

Top Topics

Reinforcement Learning

Recurrent Neural Networks

Virtual Environment

Top Venues

Publications

Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? ICMLA (2022)
Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta
Leela Zero Score: a Study of a Score-based AlphaGo Zero. CoRR (2022)
Fabio Saggese, Luca Pasqualini, Marco Moretti, Andrea Abrardo
Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic. CoRR (2021)
Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini
Generate and Revise: Reinforcement Learning in Neural Poetry. IJCNN (2021)
Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini
Generate and Revise: Reinforcement Learning in Neural Poetry. CoRR (2021)
Fabio Saggese, Luca Pasqualini, Marco Moretti, Andrea Abrardo
Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic. GLOBECOM (2021)
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. ICMLA (2021)
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. CoRR (2021)
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
SAILenv: Learning in Virtual Visual Environments Made Simple. ICPR (2020)
Luca Pasqualini, Maurizio Parton
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. CoRR (2020)
Luca Pasqualini, Maurizio Parton
Pseudo Random Number Generation: a Reinforcement Learning approach. ANT/EDI40 (2020)
Luca Pasqualini, Maurizio Parton
Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks. Algorithms 13 (11) (2020)
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
SAILenv: Learning in Virtual Visual Environments Made Simple. CoRR (2020)
Luca Pasqualini, Maurizio Parton
Pseudo Random Number Generation: a Reinforcement Learning approach. CoRR (2019)